diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5aa7c97e6c465cd89942f75abff09ef4434d76e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7531, "bytes_utf8": 7531, "lines": 218, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14332, "cached_input_tokens": 12032, "output_tokens": 1028, "reasoning_output_tokens": 844}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9736df300d62e241a1a2ca055798377714d25674 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_006d375b4014eeaf", + "api_calls": 0, + "input_tokens": 14332, + "cached_input_tokens": 12032, + "output_tokens": 1028, + "total_tokens": 15360, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21781.23, + "sql_execution_elapsed_ms_total": 26.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..16906b4ef7f67aa11c808a3a13dc7d73e290ef19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:59.000204+00:00", + "ended_at": "2026-05-19T15:34:20.781458+00:00", + "elapsed_ms": 21781.23, + "prompt_metrics": { + "chars": 7531, + "bytes_utf8": 7531, + "lines": 218, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1047, + "bytes_utf8": 1047, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 645, + "bytes_utf8": 645, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14332, + "cached_input_tokens": 12032, + "output_tokens": 1028, + "reasoning_output_tokens": 844 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d22d16c20416a701f1b4ab89c317c6dd8079768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,218 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ACTION, measure_col=RESOURCE.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ACTION", + "measure_col": "RESOURCE", + "item_col": "ROLE_FAMILY", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74189.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1042650c0e7456039bf13e42c122b32f483293fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-575a-7410-9b92-99ecac3222a6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ACTION\\\",\\n \\\"ROLE_FAMILY\\\",\\n SUM(CAST(\\\"RESOURCE\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"RESOURCE\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"RESOURCE\\\" AS REAL))) OVER (PARTITION BY \\\"ACTION\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c9\\\"\\nGROUP BY\\n \\\"ACTION\\\",\\n \\\"ROLE_FAMILY\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"ACTION\\\", item_col=\\\"ROLE_FAMILY\\\", and measure_col=\\\"RESOURCE\\\". Cast \\\"RESOURCE\\\" from TEXT to REAL for SQLite aggregation and used LIMIT 14 from the provided binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14332,"cached_input_tokens":12032,"output_tokens":1028,"reasoning_output_tokens":844}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fea7b0a4ee647b6226e7068a187112d8881b3138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ACTION\",\n \"ROLE_FAMILY\",\n SUM(CAST(\"RESOURCE\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"RESOURCE\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"RESOURCE\" AS REAL))) OVER (PARTITION BY \"ACTION\") AS \"share_within_group\"\nFROM \"c9\"\nGROUP BY\n \"ACTION\",\n \"ROLE_FAMILY\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;","notes":"Applied the Within-Group Share of Total template with group_col=\"ACTION\", item_col=\"ROLE_FAMILY\", and measure_col=\"RESOURCE\". Cast \"RESOURCE\" from TEXT to REAL for SQLite aggregation and used LIMIT 14 from the provided binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e4dda7c69a716ed6d58194d9a3b4c0ebbb0a5811 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7698, "bytes_utf8": 7698, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 908, "bytes_utf8": 908, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14366, "cached_input_tokens": 13696, "output_tokens": 801, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..02a20db02c5c7af9b48227d51a895352f01cab39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_07c51571425e5c0e", + "api_calls": 0, + "input_tokens": 14366, + "cached_input_tokens": 13696, + "output_tokens": 801, + "total_tokens": 15167, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15017.45, + "sql_execution_elapsed_ms_total": 21.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..aafc573634d73497502f1028d24f37348c25b6b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:33.548048+00:00", + "ended_at": "2026-05-19T15:48:48.565520+00:00", + "elapsed_ms": 15017.45, + "prompt_metrics": { + "chars": 7698, + "bytes_utf8": 7698, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1340, + "bytes_utf8": 1340, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 908, + "bytes_utf8": 908, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14366, + "cached_input_tokens": 13696, + "output_tokens": 801, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f1b824dc64c8708c23b32b5331a0607b5ac1fdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=ROLE_DEPTNAME, measure_col=ROLE_ROLLUP_2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "ROLE_DEPTNAME", + "measure_col": "ROLE_ROLLUP_2", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 118386.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bba0bebb63987f57f95742bb9529065494fbc9b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-af9b-7ad0-9692-ae8d98da0a24"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"ROLE_DEPTNAME\\\",\\n SUM(CAST(\\\"ROLE_ROLLUP_2\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c9\\\"\\n WHERE \\\"ROLE_DEPTNAME\\\" IS NOT NULL\\n AND \\\"ROLE_DEPTNAME\\\" <> ''\\n AND \\\"ROLE_ROLLUP_2\\\" IS NOT NULL\\n AND \\\"ROLE_ROLLUP_2\\\" <> ''\\n GROUP BY \\\"ROLE_DEPTNAME\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"ROLE_DEPTNAME\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=ROLE_DEPTNAME and measure_col=ROLE_ROLLUP_2. Casted ROLE_ROLLUP_2 to REAL because the schema stores it as TEXT, and filtered null/empty values for a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14366,"cached_input_tokens":13696,"output_tokens":801,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a084a40efc5403c82acf811eec9c54c9ac0bdc79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"ROLE_DEPTNAME\",\n SUM(CAST(\"ROLE_ROLLUP_2\" AS REAL)) AS \"group_value\"\n FROM \"c9\"\n WHERE \"ROLE_DEPTNAME\" IS NOT NULL\n AND \"ROLE_DEPTNAME\" <> ''\n AND \"ROLE_ROLLUP_2\" IS NOT NULL\n AND \"ROLE_ROLLUP_2\" <> ''\n GROUP BY \"ROLE_DEPTNAME\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"ROLE_DEPTNAME\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=ROLE_DEPTNAME and measure_col=ROLE_ROLLUP_2. Casted ROLE_ROLLUP_2 to REAL because the schema stores it as TEXT, and filtered null/empty values for a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1349896ed771bc86371569f1692470cb9dca0d37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7128, "bytes_utf8": 7128, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14216, "cached_input_tokens": 12288, "output_tokens": 341, "reasoning_output_tokens": 238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ce51a0cbbcaa552e83a8f14d0a73fdb6eb7bf5fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_0b62fad73e518356", + "api_calls": 0, + "input_tokens": 14216, + "cached_input_tokens": 12288, + "output_tokens": 341, + "total_tokens": 14557, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17257.55, + "sql_execution_elapsed_ms_total": 18.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7849a1b1a9219a19188eef4da270cda3212791e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:03.004626+00:00", + "ended_at": "2026-05-19T15:30:20.262203+00:00", + "elapsed_ms": 17257.55, + "prompt_metrics": { + "chars": 7128, + "bytes_utf8": 7128, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1072, + "bytes_utf8": 1072, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 377, + "bytes_utf8": 377, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14216, + "cached_input_tokens": 12288, + "output_tokens": 341, + "reasoning_output_tokens": 238 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86e99b3b3be4c37678ef93efd532e1961aab1a50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ROLE_CODE, measure_col=ROLE_TITLE.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "ROLE_CODE", + "measure_col": "ROLE_TITLE", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 120006.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..84acc85daf4afbaf190d267352d77b3e371b64ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-bd72-7c91-9376-d0560af4a940"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14851. Please try again in 445ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_CODE\\\", SUM(CAST(\\\"ROLE_TITLE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_CODE\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"ROLE_CODE\\\" and measure_col=\\\"ROLE_TITLE\\\". CAST was added because the schema stores these fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14216,"cached_input_tokens":12288,"output_tokens":341,"reasoning_output_tokens":238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f17dc4572d399e852087fffb2e3005f587cded16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"ROLE_CODE\", SUM(CAST(\"ROLE_TITLE\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c9\"\nGROUP BY \"ROLE_CODE\"\nORDER BY \"total_measure\" DESC;","notes":"Used the planned grouped-sum template with group_col=\"ROLE_CODE\" and measure_col=\"ROLE_TITLE\". CAST was added because the schema stores these fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a88fbbb3f03a1fac0ce8435195b9375c9fe908db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:28.193095+00:00", + "ended_at": "2026-05-19T16:08:31.255737+00:00", + "elapsed_ms": 3062.62, + "returncode": 1, + "prompt_metrics": { + "chars": 7124, + "bytes_utf8": 7124, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9ee9d9b21f6aab8ba63fe3cf286297cb3c077424 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:32.257414+00:00", + "ended_at": "2026-05-19T16:08:36.290177+00:00", + "elapsed_ms": 4032.73, + "returncode": 1, + "prompt_metrics": { + "chars": 7124, + "bytes_utf8": 7124, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1c38e92b456929a769dffb2da4c4c305580ea0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ROLE_ROLLUP_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 119348.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1c38e92b456929a769dffb2da4c4c305580ea0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ROLE_ROLLUP_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 119348.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d94a9ac89c202ff93a4543d05acd9216e8907eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ea1d-78f2-9644-5c0a1f85fc98"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc6fe4b347e55239a3207f568dbea3cc70dc7ca4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ea1d-78f2-9644-5c0a1f85fc98"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf521fdb825ae15750e3056b3d2725d5f437d9ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f9ee-7df1-b855-8e095c2f9de6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6121e63f8914d77b7914dacee4eeb34e890b54d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f9ee-7df1-b855-8e095c2f9de6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa22e717cadc414cf62b47b9da24c6d7ce941564 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7059, "bytes_utf8": 7059, "lines": 214, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 390, "bytes_utf8": 390, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14203, "cached_input_tokens": 12032, "output_tokens": 275, "reasoning_output_tokens": 168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..314eb056b8d00b0adff1e72e886d2c7ba4690b01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_26e423bfffd401d9", + "api_calls": 0, + "input_tokens": 14203, + "cached_input_tokens": 12032, + "output_tokens": 275, + "total_tokens": 14478, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9766.83, + "sql_execution_elapsed_ms_total": 4.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..216c7a77a3ea7fe55260e888564c03b2784c15a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:37.724608+00:00", + "ended_at": "2026-05-19T16:05:47.491469+00:00", + "elapsed_ms": 9766.83, + "prompt_metrics": { + "chars": 7059, + "bytes_utf8": 7059, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 734, + "bytes_utf8": 734, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 390, + "bytes_utf8": 390, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14203, + "cached_input_tokens": 12032, + "output_tokens": 275, + "reasoning_output_tokens": 168 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b73793cbf9901a7044159c8b5d4c823640f204df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=RESOURCE.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "RESOURCE", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74189.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b03c363be274e2f8c990c55793bd0f7da76f26b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5056-7e02-b7ec-be13ce5db90b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"RESOURCE\\\" AS REAL) <= 74189.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"c9\\\";\",\"notes\":\"Used the required Threshold Rarity CDF template with measure_col bound to \\\"RESOURCE\\\" and threshold fixed at 74189.0. CAST to REAL is included because the schema snapshot shows \\\"RESOURCE\\\" stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14203,"cached_input_tokens":12032,"output_tokens":275,"reasoning_output_tokens":168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1438def713c221f0cfecb59e3b9fdedfb7a0b023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"RESOURCE\" AS REAL) <= 74189.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"c9\";","notes":"Used the required Threshold Rarity CDF template with measure_col bound to \"RESOURCE\" and threshold fixed at 74189.0. CAST to REAL is included because the schema snapshot shows \"RESOURCE\" stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..374f3e99bb404b35fe649fead7bdc4cd3086e594 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7544, "bytes_utf8": 7544, "lines": 218, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14341, "cached_input_tokens": 12032, "output_tokens": 708, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5703dde98eb02f1acb7c0810b3cd3b576b29c93e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_2aece76591d0566a", + "api_calls": 0, + "input_tokens": 14341, + "cached_input_tokens": 12032, + "output_tokens": 708, + "total_tokens": 15049, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18556.52, + "sql_execution_elapsed_ms_total": 42.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6283b8a3753685b5f16ed632bf5196dc808deb43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:11.241864+00:00", + "ended_at": "2026-05-19T15:39:29.798409+00:00", + "elapsed_ms": 18556.52, + "prompt_metrics": { + "chars": 7544, + "bytes_utf8": 7544, + "lines": 218, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1349, + "bytes_utf8": 1349, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 630, + "bytes_utf8": 630, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14341, + "cached_input_tokens": 12032, + "output_tokens": 708, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b6034cee49d3fbf1141099c9db403c2048c7d12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,218 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ROLE_DEPTNAME, measure_col=MGR_ID.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ROLE_DEPTNAME", + "measure_col": "MGR_ID", + "item_col": "ROLE_FAMILY", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20807.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..52b40089517cdc8b9a1b7e5105eb47bede1aac8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e4-1b1b-7322-bea1-7827d5df80c2"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1990411, Requested 14976. Please try again in 161ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ROLE_DEPTNAME\\\",\\n \\\"ROLE_FAMILY\\\",\\n SUM(CAST(\\\"MGR_ID\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"MGR_ID\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"MGR_ID\\\" AS REAL))) OVER (PARTITION BY \\\"ROLE_DEPTNAME\\\") AS share_within_group\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_DEPTNAME\\\", \\\"ROLE_FAMILY\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the requested Within-Group Share of Total template with group_col=\\\"ROLE_DEPTNAME\\\", item_col=\\\"ROLE_FAMILY\\\", and measure_col=\\\"MGR_ID\\\". Because \\\"MGR_ID\\\" is stored as TEXT in SQLite, it is cast to REAL before aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14341,"cached_input_tokens":12032,"output_tokens":708,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9d7e71bc62be8bd146eff51b9cf388b5ee534e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ROLE_DEPTNAME\",\n \"ROLE_FAMILY\",\n SUM(CAST(\"MGR_ID\" AS REAL)) AS total_measure,\n SUM(CAST(\"MGR_ID\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"MGR_ID\" AS REAL))) OVER (PARTITION BY \"ROLE_DEPTNAME\") AS share_within_group\nFROM \"c9\"\nGROUP BY \"ROLE_DEPTNAME\", \"ROLE_FAMILY\"\nORDER BY share_within_group DESC;","notes":"Applied the requested Within-Group Share of Total template with group_col=\"ROLE_DEPTNAME\", item_col=\"ROLE_FAMILY\", and measure_col=\"MGR_ID\". Because \"MGR_ID\" is stored as TEXT in SQLite, it is cast to REAL before aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea45986698b9dee5af60ef2be8d9657e6b1890b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7132, "bytes_utf8": 7132, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14222, "cached_input_tokens": 12032, "output_tokens": 631, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a77364ceb202536efc016e20abd6149588f7b2f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_3b48e5ab5a2dfa21", + "api_calls": 0, + "input_tokens": 14222, + "cached_input_tokens": 12032, + "output_tokens": 631, + "total_tokens": 14853, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14840.65, + "sql_execution_elapsed_ms_total": 17.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d82125fe269c1c8913664a530f10547e59b819e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:49.752554+00:00", + "ended_at": "2026-05-19T15:32:04.593234+00:00", + "elapsed_ms": 14840.65, + "prompt_metrics": { + "chars": 7132, + "bytes_utf8": 7132, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 752, + "bytes_utf8": 752, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 386, + "bytes_utf8": 386, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14222, + "cached_input_tokens": 12032, + "output_tokens": 631, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e438fd94c1336fa79481cb6981d706ad867b51ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ROLE_ROLLUP_2, measure_col=RESOURCE.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "ROLE_ROLLUP_2", + "measure_col": "RESOURCE", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74189.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbc0e009645ff483bfb6364c589d50ee89aaeca3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-5e69-7f21-90ff-d9f4364ed9d8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_ROLLUP_2\\\", SUM(CAST(\\\"RESOURCE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"ROLE_ROLLUP_2\\\" and measure_col=\\\"RESOURCE\\\". Cast \\\"RESOURCE\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14222,"cached_input_tokens":12032,"output_tokens":631,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa25b834261e9e05623700875722d57b39b721a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"ROLE_ROLLUP_2\", SUM(CAST(\"RESOURCE\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c9\"\nGROUP BY \"ROLE_ROLLUP_2\"\nORDER BY \"total_measure\" DESC;","notes":"Used the planned grouped-sum template with group_col=\"ROLE_ROLLUP_2\" and measure_col=\"RESOURCE\". Cast \"RESOURCE\" to NUMERIC because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f07b4138db9852b8bdddca723c9ac23eb502a0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7124, "bytes_utf8": 7124, "lines": 214, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 347, "bytes_utf8": 347, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14230, "cached_input_tokens": 13696, "output_tokens": 525, "reasoning_output_tokens": 422}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b2e6decc147ca05ad2e34a784cb7b5b5a230d7e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_4152bdaecf168cc2", + "api_calls": 0, + "input_tokens": 14230, + "cached_input_tokens": 13696, + "output_tokens": 525, + "total_tokens": 14755, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16623.98, + "sql_execution_elapsed_ms_total": 14.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6173a28210e27fe207f6fb36185e74f97d6eb544 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:13.765381+00:00", + "ended_at": "2026-05-19T16:07:30.389390+00:00", + "elapsed_ms": 16623.98, + "prompt_metrics": { + "chars": 7124, + "bytes_utf8": 7124, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 708, + "bytes_utf8": 708, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 347, + "bytes_utf8": 347, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14230, + "cached_input_tokens": 13696, + "output_tokens": 525, + "reasoning_output_tokens": 422 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b7863c96488a16982e03014c57d268d05e0042b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ROLE_DEPTNAME.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ROLE_DEPTNAME", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 118386.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25a56c34a9b6641ed124fb8e97825c54ba780c62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c76f-7b71-bf16-dfcffa046c89"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"ROLE_DEPTNAME\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_DEPTNAME\\\"\\nORDER BY \\\"support\\\" ASC, \\\"ROLE_DEPTNAME\\\"\\nLIMIT 18;\",\"notes\":\"Counts rows for each \\\"ROLE_DEPTNAME\\\" and returns the 18 lowest-support groups, ordered by support then group value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14230,"cached_input_tokens":13696,"output_tokens":525,"reasoning_output_tokens":422}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86e44a91c43871e1703f6a0365da8d9462318d95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"ROLE_DEPTNAME\",\n COUNT(*) AS \"support\"\nFROM \"c9\"\nGROUP BY \"ROLE_DEPTNAME\"\nORDER BY \"support\" ASC, \"ROLE_DEPTNAME\"\nLIMIT 18;","notes":"Counts rows for each \"ROLE_DEPTNAME\" and returns the 18 lowest-support groups, ordered by support then group value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_4152bdaecf168cc2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1025d47a302b73478b0f011f1d059d1aabbbd1a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7454, "bytes_utf8": 7454, "lines": 220, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 458, "bytes_utf8": 458, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14324, "cached_input_tokens": 13696, "output_tokens": 641, "reasoning_output_tokens": 499}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a19c2fe9d6215172cf0294227751ff9855d4e212 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_44677d0edad2e992", + "api_calls": 0, + "input_tokens": 14324, + "cached_input_tokens": 13696, + "output_tokens": 641, + "total_tokens": 14965, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23623.63, + "sql_execution_elapsed_ms_total": 23.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fd82b8ee34e3414501277a5e6e905426ab2b1a28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:46.124143+00:00", + "ended_at": "2026-05-19T15:44:09.747801+00:00", + "elapsed_ms": 23623.63, + "prompt_metrics": { + "chars": 7454, + "bytes_utf8": 7454, + "lines": 220, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1831, + "bytes_utf8": 1831, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 458, + "bytes_utf8": 458, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14324, + "cached_input_tokens": 13696, + "output_tokens": 641, + "reasoning_output_tokens": 499 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..601179e2cb3b3e50569016e7d0bfd7f4be4fabad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,220 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=ROLE_ROLLUP_1, group_col_2=ROLE_CODE.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "group_col_2": "ROLE_CODE", + "predicate_col": "ROLE_ROLLUP_1", + "predicate_op": ">=", + "predicate_value": 117961.0, + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 120006.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31da55075825ae5d20ba182a7001dddbf6823f83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e8-4ccc-74a2-82db-07f8068b1010"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988421, Requested 14959. Please try again in 101ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14959. Please try again in 448ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988076, Requested 14959. Please try again in 91ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"ROLE_ROLLUP_1\\\", \\\"ROLE_CODE\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c9\\\"\\nWHERE CAST(\\\"ROLE_ROLLUP_1\\\" AS REAL) >= 117961.0\\nGROUP BY \\\"ROLE_ROLLUP_1\\\", \\\"ROLE_CODE\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with \\\"ROLE_ROLLUP_1\\\" and \\\"ROLE_CODE\\\". Used a numeric cast in the filter because the schema stores \\\"ROLE_ROLLUP_1\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14324,"cached_input_tokens":13696,"output_tokens":641,"reasoning_output_tokens":499}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bc2defdbc980ae387ab44baa1fabd2663d0b8f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"ROLE_ROLLUP_1\", \"ROLE_CODE\", COUNT(*) AS \"row_count\"\nFROM \"c9\"\nWHERE CAST(\"ROLE_ROLLUP_1\" AS REAL) >= 117961.0\nGROUP BY \"ROLE_ROLLUP_1\", \"ROLE_CODE\"\nORDER BY \"row_count\" DESC;","notes":"Applied the filtered two-dimensional group count template with \"ROLE_ROLLUP_1\" and \"ROLE_CODE\". Used a numeric cast in the filter because the schema stores \"ROLE_ROLLUP_1\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_44677d0edad2e992/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f2e3fc95453de45c4d55675a73006a0e39f4a6c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:46.975571+00:00", + "ended_at": "2026-05-19T16:02:49.687099+00:00", + "elapsed_ms": 2711.5, + "returncode": 1, + "prompt_metrics": { + "chars": 7371, + "bytes_utf8": 7371, + "lines": 219, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9ac1229dcd424188ae85c7a9742a9a6af79b5803 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:50.689048+00:00", + "ended_at": "2026-05-19T16:02:53.543654+00:00", + "elapsed_ms": 2854.57, + "returncode": 1, + "prompt_metrics": { + "chars": 7371, + "bytes_utf8": 7371, + "lines": 219, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49c0874ce87dae780d10e8bde892c3e3490ad0ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,219 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ROLE_ROLLUP_1, condition_col=ACTION.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "condition_col": "ACTION", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42034.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..49c0874ce87dae780d10e8bde892c3e3490ad0ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,219 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ROLE_ROLLUP_1, condition_col=ACTION.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "condition_col": "ACTION", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42034.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a37d02f5de09eae687b2befe5cc6301c39ea7c9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-b551-7bf3-8654-c617d8f061d5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f912d6c34a44c19c61a4272cd4b70ec6332274b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-b551-7bf3-8654-c617d8f061d5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94cd97a2b13d67e09ca0dda4a19ff7ad8e66ef0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c3bb-79f2-bf55-658c2812768f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..33d9e1e2986de5a943bc8b63627489447d667535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c3bb-79f2-bf55-658c2812768f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_59e17ca5669ce842/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..205974996d460bdc7d040a8b2c026e77cadedc2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7318, "bytes_utf8": 7318, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1780, "bytes_utf8": 1780, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14262, "cached_input_tokens": 12032, "output_tokens": 3702, "reasoning_output_tokens": 3078}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e95358e49a8556d6871282f0f5b7de0ec970dd51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_5d419e838021602e", + "api_calls": 0, + "input_tokens": 14262, + "cached_input_tokens": 12032, + "output_tokens": 3702, + "total_tokens": 17964, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 52033.94, + "sql_execution_elapsed_ms_total": 144.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ef4a73d99c03451e580ed6f0c193808a1d0b67b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:19.064545+00:00", + "ended_at": "2026-05-19T15:54:11.098520+00:00", + "elapsed_ms": 52033.94, + "prompt_metrics": { + "chars": 7318, + "bytes_utf8": 7318, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2352, + "bytes_utf8": 2352, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1780, + "bytes_utf8": 1780, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14262, + "cached_input_tokens": 12032, + "output_tokens": 3702, + "reasoning_output_tokens": 3078 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5abee17e73f4923ac34c11c00d0e184f474ac64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ROLE_ROLLUP_1, measure_col=ROLE_TITLE.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "measure_col": "ROLE_TITLE", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 118890.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..378f89a05c6a1b89cfb9ee42368744d186504304 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-0ad7-7163-9fa6-8a76c0dd52e3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"ROLE_ROLLUP_1\\\",\\n CAST(\\\"ROLE_TITLE\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ROLE_ROLLUP_1\\\"\\n ORDER BY CAST(\\\"ROLE_TITLE\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"ROLE_ROLLUP_1\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c9\\\"\\n WHERE \\\"ROLE_ROLLUP_1\\\" IS NOT NULL\\n AND \\\"ROLE_TITLE\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"ROLE_ROLLUP_1\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n p.\\\"ROLE_ROLLUP_1\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN lo.\\\"measure\\\"\\n ELSE lo.\\\"measure\\\" + (p.\\\"pos\\\" - p.\\\"lower_rn\\\") * (hi.\\\"measure\\\" - lo.\\\"measure\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS p\\nJOIN \\\"ordered\\\" AS lo\\n ON lo.\\\"ROLE_ROLLUP_1\\\" = p.\\\"ROLE_ROLLUP_1\\\"\\n AND lo.\\\"rn\\\" = p.\\\"lower_rn\\\"\\nJOIN \\\"ordered\\\" AS hi\\n ON hi.\\\"ROLE_ROLLUP_1\\\" = p.\\\"ROLE_ROLLUP_1\\\"\\n AND hi.\\\"rn\\\" = p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 15;\",\"notes\":\"Uses a SQLite window-function emulation of PERCENTILE_CONT(0.95) with linear interpolation, since SQLite lacks PERCENTILE_CONT. \\\"ROLE_TITLE\\\" is cast from TEXT to REAL, groups are fixed on \\\"ROLE_ROLLUP_1\\\", groups smaller than 5 rows are excluded, and the result is limited to the top 15 groups by 95th-percentile measure.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14262,"cached_input_tokens":12032,"output_tokens":3702,"reasoning_output_tokens":3078}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2e6a201143e96ad61b0d77896e2c4fe9aa8a167 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"ROLE_ROLLUP_1\",\n CAST(\"ROLE_TITLE\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ROLE_ROLLUP_1\"\n ORDER BY CAST(\"ROLE_TITLE\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"ROLE_ROLLUP_1\"\n ) AS \"cnt\"\n FROM \"c9\"\n WHERE \"ROLE_ROLLUP_1\" IS NOT NULL\n AND \"ROLE_TITLE\" IS NOT NULL\n),\n\"params\" AS (\n SELECT DISTINCT\n \"ROLE_ROLLUP_1\",\n \"cnt\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n p.\"ROLE_ROLLUP_1\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN lo.\"measure\"\n ELSE lo.\"measure\" + (p.\"pos\" - p.\"lower_rn\") * (hi.\"measure\" - lo.\"measure\")\n END AS \"percentile_measure\"\nFROM \"params\" AS p\nJOIN \"ordered\" AS lo\n ON lo.\"ROLE_ROLLUP_1\" = p.\"ROLE_ROLLUP_1\"\n AND lo.\"rn\" = p.\"lower_rn\"\nJOIN \"ordered\" AS hi\n ON hi.\"ROLE_ROLLUP_1\" = p.\"ROLE_ROLLUP_1\"\n AND hi.\"rn\" = p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC\nLIMIT 15;","notes":"Uses a SQLite window-function emulation of PERCENTILE_CONT(0.95) with linear interpolation, since SQLite lacks PERCENTILE_CONT. \"ROLE_TITLE\" is cast from TEXT to REAL, groups are fixed on \"ROLE_ROLLUP_1\", groups smaller than 5 rows are excluded, and the result is limited to the top 15 groups by 95th-percentile measure."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_5d419e838021602e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4268148cbebe85edd0ffc4192e5a30cf1407002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7303, "bytes_utf8": 7303, "lines": 214, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 548, "bytes_utf8": 548, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 13696, "output_tokens": 446, "reasoning_output_tokens": 278}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d36e98e129a421e3dd2fbaa1f008c728e0731f08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_8339b85f6c683abc", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 13696, + "output_tokens": 446, + "total_tokens": 14723, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15482.7, + "sql_execution_elapsed_ms_total": 59.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c4b63ea6a13f5eca4f47c0ec800c0f7f9a4f3667 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:36.687216+00:00", + "ended_at": "2026-05-19T15:46:52.169955+00:00", + "elapsed_ms": 15482.7, + "prompt_metrics": { + "chars": 7303, + "bytes_utf8": 7303, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1242, + "bytes_utf8": 1242, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 548, + "bytes_utf8": 548, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14277, + "cached_input_tokens": 13696, + "output_tokens": 446, + "reasoning_output_tokens": 278 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b55a9601149f5f3b98156005a2da9e9d16154ef6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ROLE_ROLLUP_2.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ROLE_ROLLUP_2", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 118386.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..35b00f6dd801713845a57930fc658a1b758095cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ea-e7b1-7c63-8096-0dd60f8c63f3"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14912. Please try again in 447ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"ROLE_ROLLUP_2\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ROLE_ROLLUP_2\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"c9\\\"\\n WHERE \\\"ROLE_ROLLUP_2\\\" IS NOT NULL\\n)\\nSELECT \\\"ROLE_ROLLUP_2\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"ROLE_ROLLUP_2\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to ROLE_ROLLUP_2 and num_tiles=10. CAST to REAL is used because the schema stores this measure as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14277,"cached_input_tokens":13696,"output_tokens":446,"reasoning_output_tokens":278}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dadb522cb13f14d935da120c3206377f05d62d7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"ROLE_ROLLUP_2\",\n NTILE(10) OVER (ORDER BY CAST(\"ROLE_ROLLUP_2\" AS REAL) DESC) AS tail_bucket\n FROM \"c9\"\n WHERE \"ROLE_ROLLUP_2\" IS NOT NULL\n)\nSELECT \"ROLE_ROLLUP_2\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"ROLE_ROLLUP_2\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to ROLE_ROLLUP_2 and num_tiles=10. CAST to REAL is used because the schema stores this measure as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_8339b85f6c683abc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1aa1d29063820e086e042886ec796472eb2c4a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7946, "bytes_utf8": 7946, "lines": 219, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 690, "bytes_utf8": 690, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14428, "cached_input_tokens": 13696, "output_tokens": 507, "reasoning_output_tokens": 324}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5da776fc42bbc8a249739568e92690c466e0f055 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_875cd7692185200a", + "api_calls": 0, + "input_tokens": 14428, + "cached_input_tokens": 13696, + "output_tokens": 507, + "total_tokens": 14935, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10890.56, + "sql_execution_elapsed_ms_total": 26.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8cf17f58fb82b4d0ec97487e7da69eaca6e1f31f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:07.266942+00:00", + "ended_at": "2026-05-19T15:40:18.157539+00:00", + "elapsed_ms": 10890.56, + "prompt_metrics": { + "chars": 7946, + "bytes_utf8": 7946, + "lines": 219, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1059, + "bytes_utf8": 1059, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 690, + "bytes_utf8": 690, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14428, + "cached_input_tokens": 13696, + "output_tokens": 507, + "reasoning_output_tokens": 324 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6acb886ce171b5c87764f1e7b99dbfa24b44fafd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,219 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=ACTION, condition_col=ROLE_FAMILY.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "ACTION", + "condition_col": "ROLE_FAMILY", + "condition_value": "290919", + "positive_value": "290919", + "negative_value": "118424", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 120535.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..61bb508454eebf920de460e4c6e80ea7f632114e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-f5f9-7653-8021-95571d54a15b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"ACTION\\\",\\n SUM(CASE WHEN \\\"ROLE_FAMILY\\\" = '290919' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ROLE_FAMILY\\\" = '118424' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c9\\\"\\n GROUP BY \\\"ACTION\\\"\\n)\\nSELECT \\\"ACTION\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"ACTION\\\" and condition_col=\\\"ROLE_FAMILY\\\", comparing positive_value='290919' against negative_value='118424' in SQLite-compatible SQL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14428,"cached_input_tokens":13696,"output_tokens":507,"reasoning_output_tokens":324}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8136bc6f644342124949d3aa477034bec805b456 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"ACTION\",\n SUM(CASE WHEN \"ROLE_FAMILY\" = '290919' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ROLE_FAMILY\" = '118424' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c9\"\n GROUP BY \"ACTION\"\n)\nSELECT \"ACTION\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with group_col=\"ACTION\" and condition_col=\"ROLE_FAMILY\", comparing positive_value='290919' against negative_value='118424' in SQLite-compatible SQL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_875cd7692185200a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f764bc93f7d89ffdcf871466c31fcebf3061d80a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:07.213940+00:00", + "ended_at": "2026-05-19T16:10:10.229060+00:00", + "elapsed_ms": 3015.09, + "returncode": 1, + "prompt_metrics": { + "chars": 7215, + "bytes_utf8": 7215, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a3d9ea4f45cafb73bca9a5338cdce47f0cfdd585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:11.230587+00:00", + "ended_at": "2026-05-19T16:10:14.513392+00:00", + "elapsed_ms": 3282.78, + "returncode": 1, + "prompt_metrics": { + "chars": 7215, + "bytes_utf8": 7215, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17ecfc47bd0150f1974ffd9a13019a0ec9224c54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ACTION, measure_col=ROLE_ROLLUP_1.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ACTION", + "measure_col": "ROLE_ROLLUP_1", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 117961.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..17ecfc47bd0150f1974ffd9a13019a0ec9224c54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ACTION, measure_col=ROLE_ROLLUP_1.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ACTION", + "measure_col": "ROLE_ROLLUP_1", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 117961.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..237c638c5cb80c26bdd2fbffec6c67e961bc868c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6ce9-73e0-8afd-3ab3250bbf3b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6855ddb5f4c40e56b9133db645ab939cdc272c24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6ce9-73e0-8afd-3ab3250bbf3b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3d2011ce87d142de321e438e1c09d92ebc768be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7cae-7210-9631-9bfa6993af52"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfbab62858f2a6f77498fb54510404857b9e7fb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7cae-7210-9631-9bfa6993af52"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_93137a1f487cb303/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4c1bbc5df3efff05d64ebe0c7ea43147ceb52a07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:36.350161+00:00", + "ended_at": "2026-05-19T16:09:41.651650+00:00", + "elapsed_ms": 5301.46, + "returncode": 1, + "prompt_metrics": { + "chars": 7212, + "bytes_utf8": 7212, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ffdfcebf3a8328f91de55ec6a7c959d6e4882549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:42.654453+00:00", + "ended_at": "2026-05-19T16:09:45.457187+00:00", + "elapsed_ms": 2802.68, + "returncode": 1, + "prompt_metrics": { + "chars": 7212, + "bytes_utf8": 7212, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5556494cdbe615a7895142561d0cff83bbf4d004 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ROLE_TITLE, measure_col=RESOURCE.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ROLE_TITLE", + "measure_col": "RESOURCE", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74189.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5556494cdbe615a7895142561d0cff83bbf4d004 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ROLE_TITLE, measure_col=RESOURCE.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ROLE_TITLE", + "measure_col": "RESOURCE", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74189.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbe3b0f66927909d7f2a9e31e966ec1e7183b0a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f46a-7df1-af6a-6ed26458fc7f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d17acf42c587dde036bd63db66ac6d5869f9044 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f46a-7df1-af6a-6ed26458fc7f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac3c6bb61ba8a779d0a94fb12f1d18e1b5d7256f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0d0e-7cd3-925c-15502c27ab0a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd912838e84154a5b482b3ed13e9371e7ea37820 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0d0e-7cd3-925c-15502c27ab0a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_9d6e26f1c9fbe4e1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..640cfd059dc0d447a9286535843e3433dfe1ddf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7689, "bytes_utf8": 7689, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14354, "cached_input_tokens": 13696, "output_tokens": 605, "reasoning_output_tokens": 403}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b28872f1ff1fad902863f97c95cc6cd306b8e112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_a57561dfb44d2dc0", + "api_calls": 0, + "input_tokens": 14354, + "cached_input_tokens": 13696, + "output_tokens": 605, + "total_tokens": 14959, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12173.43, + "sql_execution_elapsed_ms_total": 11.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0881412ebafcf8cab71e1969ff69aae69bb0b7c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:59.545791+00:00", + "ended_at": "2026-05-19T15:50:11.719252+00:00", + "elapsed_ms": 12173.43, + "prompt_metrics": { + "chars": 7689, + "bytes_utf8": 7689, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1113, + "bytes_utf8": 1113, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 693, + "bytes_utf8": 693, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14354, + "cached_input_tokens": 13696, + "output_tokens": 605, + "reasoning_output_tokens": 403 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..74297987a6b3df8b1b8c04ef0c92d19ae15c9557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ACTION, measure_col=ROLE_FAMILY_DESC.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "ACTION", + "measure_col": "ROLE_FAMILY_DESC", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 235280.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5298b908ec9ceecf757dab4ad63bda2dbf40ae1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-ff93-7fc0-bbe7-82b9b1da8780"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"ACTION\\\",\\n SUM(CAST(\\\"ROLE_FAMILY_DESC\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c9\\\"\\n GROUP BY \\\"ACTION\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"ACTION\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"ACTION\\\" and measure_col=\\\"ROLE_FAMILY_DESC\\\". CAST to REAL because the schema stores numeric-like values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14354,"cached_input_tokens":13696,"output_tokens":605,"reasoning_output_tokens":403}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8c4c205feb346ffc5b670bd6451b74bfbd20136 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"ACTION\",\n SUM(CAST(\"ROLE_FAMILY_DESC\" AS REAL)) AS \"group_value\"\n FROM \"c9\"\n GROUP BY \"ACTION\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"ACTION\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"ACTION\" and measure_col=\"ROLE_FAMILY_DESC\". CAST to REAL because the schema stores numeric-like values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a57561dfb44d2dc0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..195f75ccb1fd91b97a213362b799e850d31948af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:30.558200+00:00", + "ended_at": "2026-05-19T16:05:33.851856+00:00", + "elapsed_ms": 3293.62, + "returncode": 1, + "prompt_metrics": { + "chars": 7061, + "bytes_utf8": 7061, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..745773b44fd865e9e90929f8637f6a7c25bc4692 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:34.854810+00:00", + "ended_at": "2026-05-19T16:05:37.720309+00:00", + "elapsed_ms": 2865.45, + "returncode": 1, + "prompt_metrics": { + "chars": 7061, + "bytes_utf8": 7061, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d02a77414750e90c87c487cb193ebe133dd2d04e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ROLE_CODE.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ROLE_CODE", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 119348.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d02a77414750e90c87c487cb193ebe133dd2d04e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ROLE_CODE.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ROLE_CODE", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 119348.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db858d7e4e9308858282f52321d3a2852e6c14a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3452-7410-94de-e53650bbc3ac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..081617fa98da8de78893ee099389db57d8205ee1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3452-7410-94de-e53650bbc3ac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c70d86845ffeef63330077040b8e75abe5d05145 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4517-7f71-a13d-be678dbc2bf3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..93ce8f49296239d74670eb960c45b9e014f242c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4517-7f71-a13d-be678dbc2bf3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_a771996e92c2ec46/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a4fb41431932297e42cb3b24e6b99610ba9d17e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7547, "bytes_utf8": 7547, "lines": 218, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 602, "bytes_utf8": 602, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14338, "cached_input_tokens": 13696, "output_tokens": 775, "reasoning_output_tokens": 598}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..af66d23df9cf2c4e5e1aea1c1427f312edd65dcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_aa2b6d49b1c3cd7f", + "api_calls": 0, + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 775, + "total_tokens": 15113, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13731.83, + "sql_execution_elapsed_ms_total": 35.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f5be12b89d501f390403169394bcfe346291287 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:42.047613+00:00", + "ended_at": "2026-05-19T15:37:55.779461+00:00", + "elapsed_ms": 13731.83, + "prompt_metrics": { + "chars": 7547, + "bytes_utf8": 7547, + "lines": 218, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 996, + "bytes_utf8": 996, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 602, + "bytes_utf8": 602, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 775, + "reasoning_output_tokens": 598 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31db2daf63d94c00d54c9e6e5d948e1413163282 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,218 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ACTION, measure_col=ROLE_FAMILY_DESC.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ACTION", + "measure_col": "ROLE_FAMILY_DESC", + "item_col": "ROLE_DEPTNAME", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 164523.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..81c281b471dc3015aa08ddf75b3647591b3b106e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-be8e-7ae1-a24f-102c5cc20223"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ACTION\\\",\\n \\\"ROLE_DEPTNAME\\\",\\n SUM(CAST(\\\"ROLE_FAMILY_DESC\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"ROLE_FAMILY_DESC\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ROLE_FAMILY_DESC\\\" AS REAL))) OVER (PARTITION BY \\\"ACTION\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ACTION\\\", \\\"ROLE_DEPTNAME\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the provided template with group_col=\\\"ACTION\\\", item_col=\\\"ROLE_DEPTNAME\\\", and measure_col=\\\"ROLE_FAMILY_DESC\\\". Casted the measure from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14338,"cached_input_tokens":13696,"output_tokens":775,"reasoning_output_tokens":598}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..316550b2ee3db21b107e1b354ab31525b3a72656 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ACTION\",\n \"ROLE_DEPTNAME\",\n SUM(CAST(\"ROLE_FAMILY_DESC\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"ROLE_FAMILY_DESC\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ROLE_FAMILY_DESC\" AS REAL))) OVER (PARTITION BY \"ACTION\") AS \"share_within_group\"\nFROM \"c9\"\nGROUP BY \"ACTION\", \"ROLE_DEPTNAME\"\nORDER BY \"share_within_group\" DESC;","notes":"Used the provided template with group_col=\"ACTION\", item_col=\"ROLE_DEPTNAME\", and measure_col=\"ROLE_FAMILY_DESC\". Casted the measure from TEXT to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aa2b6d49b1c3cd7f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ee45e035ce88badd03685b758ac37ee2e8dc545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7545, "bytes_utf8": 7545, "lines": 218, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14342, "cached_input_tokens": 13696, "output_tokens": 699, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1b1b2ea3b265489b9fdfbed0b89572f807073104 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_aaee9397c3ce33aa", + "api_calls": 0, + "input_tokens": 14342, + "cached_input_tokens": 13696, + "output_tokens": 699, + "total_tokens": 15041, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13541.35, + "sql_execution_elapsed_ms_total": 38.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f21fab1e67f25204b9ea9eaa1b403156f1039f15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:53.681126+00:00", + "ended_at": "2026-05-19T15:40:07.222506+00:00", + "elapsed_ms": 13541.35, + "prompt_metrics": { + "chars": 7545, + "bytes_utf8": 7545, + "lines": 218, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1010, + "bytes_utf8": 1010, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 630, + "bytes_utf8": 630, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14342, + "cached_input_tokens": 13696, + "output_tokens": 699, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..11fce0827cdbb1e7407d1ebf1a1713395154d6f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,218 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ROLE_TITLE, measure_col=ROLE_ROLLUP_1.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ROLE_TITLE", + "measure_col": "ROLE_ROLLUP_1", + "item_col": "ROLE_CODE", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 117961.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..adb7dcdeaadd9279624fcb90631e24fc7121c7ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-c0de-70f3-bcaf-cddf08009d3d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ROLE_TITLE\\\", \\\"ROLE_CODE\\\",\\n SUM(CAST(\\\"ROLE_ROLLUP_1\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ROLE_ROLLUP_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ROLE_ROLLUP_1\\\" AS REAL))) OVER (PARTITION BY \\\"ROLE_TITLE\\\") AS share_within_group\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_TITLE\\\", \\\"ROLE_CODE\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the provided Within-Group Share of Total template with group_col=\\\"ROLE_TITLE\\\", item_col=\\\"ROLE_CODE\\\", and measure_col=\\\"ROLE_ROLLUP_1\\\". CAST to REAL is used because the schema stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14342,"cached_input_tokens":13696,"output_tokens":699,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2236e85f5f6e9f4cb81329037abef93d12efca34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ROLE_TITLE\", \"ROLE_CODE\",\n SUM(CAST(\"ROLE_ROLLUP_1\" AS REAL)) AS total_measure,\n SUM(CAST(\"ROLE_ROLLUP_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ROLE_ROLLUP_1\" AS REAL))) OVER (PARTITION BY \"ROLE_TITLE\") AS share_within_group\nFROM \"c9\"\nGROUP BY \"ROLE_TITLE\", \"ROLE_CODE\"\nORDER BY share_within_group DESC;","notes":"Instantiated the provided Within-Group Share of Total template with group_col=\"ROLE_TITLE\", item_col=\"ROLE_CODE\", and measure_col=\"ROLE_ROLLUP_1\". CAST to REAL is used because the schema stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_aaee9397c3ce33aa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3cd79c6e9240d4baf1e4d827a7f1e303845deef5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:01.383678+00:00", + "ended_at": "2026-05-19T16:05:07.173382+00:00", + "elapsed_ms": 5789.66, + "returncode": 1, + "prompt_metrics": { + "chars": 7372, + "bytes_utf8": 7372, + "lines": 219, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bec62c4f9322b44ec424fd7f2d5769046d7ad5a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,219 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ROLE_ROLLUP_1, condition_col=ACTION.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "condition_col": "ACTION", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 119348.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..40b10499185b2170dc0231f39858183de954e140 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b39d-7fe0-a07c-28aa96028474"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..280868957063ffc521d3c07d8371fe063bb7c4ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c257-7d33-97aa-c56b34532917"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c0053245697cf62b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..207cf22c018d6178e7528fd3461e3bb5e10e42b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:36.187164+00:00", + "ended_at": "2026-05-19T16:06:39.349767+00:00", + "elapsed_ms": 3162.57, + "returncode": 1, + "prompt_metrics": { + "chars": 7121, + "bytes_utf8": 7121, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c72d76882c6e23fc7fc41288f16604f3a66cd31f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:40.351493+00:00", + "ended_at": "2026-05-19T16:06:43.552796+00:00", + "elapsed_ms": 3201.27, + "returncode": 1, + "prompt_metrics": { + "chars": 7121, + "bytes_utf8": 7121, + "lines": 214, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..13c0799e305de5ff6d7d905189a6750b355a8f52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ROLE_ROLLUP_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 42034.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..13c0799e305de5ff6d7d905189a6750b355a8f52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ROLE_ROLLUP_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 42034.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2fbd4f38bb7c8430eea8ab52d870eeb869a2afe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3496-7220-9bc9-4e6d5c3e34bf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82d5ebd19f50dd89595d2dbeef1e5f250a970038 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3496-7220-9bc9-4e6d5c3e34bf"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d66064cde68eddfa00914c7d8beaf39406e25ec8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-44dc-7cd2-a965-e45c67e12c88"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..93da3e48437148fcaa7e76bef5c37e6e001a0170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-44dc-7cd2-a965-e45c67e12c88"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_c6fc975337b8db2d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0209b3f33005cd41c7e2967bc39b7dde72188bf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7946, "bytes_utf8": 7946, "lines": 219, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 728, "bytes_utf8": 728, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14428, "cached_input_tokens": 12032, "output_tokens": 397, "reasoning_output_tokens": 207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93d184abad06dda191c240e1c004459d734f9aa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_cb8d369289c6cf40", + "api_calls": 0, + "input_tokens": 14428, + "cached_input_tokens": 12032, + "output_tokens": 397, + "total_tokens": 14825, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16536.41, + "sql_execution_elapsed_ms_total": 31.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96da4ab0a0e3b262926dfc2dd919838783dd9108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:40.655899+00:00", + "ended_at": "2026-05-19T15:41:57.192345+00:00", + "elapsed_ms": 16536.41, + "prompt_metrics": { + "chars": 7946, + "bytes_utf8": 7946, + "lines": 219, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1422, + "bytes_utf8": 1422, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 728, + "bytes_utf8": 728, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14428, + "cached_input_tokens": 12032, + "output_tokens": 397, + "reasoning_output_tokens": 207 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa684b30dc368dabc5575829255ca049022a56e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cb8d369289c6cf40/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"ACTION\",\n SUM(CASE WHEN \"ROLE_FAMILY\" = '290919' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ROLE_FAMILY\" = '118424' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c9\"\n GROUP BY \"ACTION\"\n)\nSELECT \"ACTION\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the provided grouped ratio template with group_col=ACTION and condition_col=ROLE_FAMILY, comparing positive_value '290919' against negative_value '118424'. NULLIF prevents division-by-zero for groups with no negative matches."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99caf402c229ed72e178acda189d1fe928a60490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7691, "bytes_utf8": 7691, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 619, "bytes_utf8": 619, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14356, "cached_input_tokens": 13696, "output_tokens": 419, "reasoning_output_tokens": 253}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b6a17d6118013f7f4af1689fff34e6f1c3a95569 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_cbc50bc55f7547e4", + "api_calls": 0, + "input_tokens": 14356, + "cached_input_tokens": 13696, + "output_tokens": 419, + "total_tokens": 14775, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9903.46, + "sql_execution_elapsed_ms_total": 17.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed0e4143fd1d7773904a57476675676a44b1da18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:13.688360+00:00", + "ended_at": "2026-05-19T15:49:23.591857+00:00", + "elapsed_ms": 9903.46, + "prompt_metrics": { + "chars": 7691, + "bytes_utf8": 7691, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 986, + "bytes_utf8": 986, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 619, + "bytes_utf8": 619, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14356, + "cached_input_tokens": 13696, + "output_tokens": 419, + "reasoning_output_tokens": 253 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41f45a1dcf088a81b8f822d106f7185806703e7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ROLE_TITLE, measure_col=ROLE_DEPTNAME.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "ROLE_TITLE", + "measure_col": "ROLE_DEPTNAME", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 120535.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..93d5699293bd1d28d10e7c9b32815870214d3549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-4c4c-7341-aab3-297f959b9def"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"ROLE_TITLE\\\", SUM(CAST(\\\"ROLE_DEPTNAME\\\" AS REAL)) AS group_value\\n FROM \\\"c9\\\"\\n GROUP BY \\\"ROLE_TITLE\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"ROLE_TITLE\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned template with group_col=\\\"ROLE_TITLE\\\" and measure_col=\\\"ROLE_DEPTNAME\\\". CAST to REAL is applied because the SQLite schema stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14356,"cached_input_tokens":13696,"output_tokens":419,"reasoning_output_tokens":253}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..53fa3156a6c93917f9e4f3d27d661efc5e8d071d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"ROLE_TITLE\", SUM(CAST(\"ROLE_DEPTNAME\" AS REAL)) AS group_value\n FROM \"c9\"\n GROUP BY \"ROLE_TITLE\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"ROLE_TITLE\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the planned template with group_col=\"ROLE_TITLE\" and measure_col=\"ROLE_DEPTNAME\". CAST to REAL is applied because the SQLite schema stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_cbc50bc55f7547e4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c6fd7edd370a661e4741788d0d4a40a55ba55611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7138, "bytes_utf8": 7138, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 396, "bytes_utf8": 396, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14220, "cached_input_tokens": 12032, "output_tokens": 446, "reasoning_output_tokens": 336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a5389b7e4a7571d80d0a964c70b9f673329b0091 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_dea50bf981fde201", + "api_calls": 0, + "input_tokens": 14220, + "cached_input_tokens": 12032, + "output_tokens": 446, + "total_tokens": 14666, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10461.26, + "sql_execution_elapsed_ms_total": 43.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b9bad3e34c6ed2eaf1909dcf674554ad6d0b442c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:52.487801+00:00", + "ended_at": "2026-05-19T15:30:02.949101+00:00", + "elapsed_ms": 10461.26, + "prompt_metrics": { + "chars": 7138, + "bytes_utf8": 7138, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 754, + "bytes_utf8": 754, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 396, + "bytes_utf8": 396, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14220, + "cached_input_tokens": 12032, + "output_tokens": 446, + "reasoning_output_tokens": 336 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee50b7b5d32846f9906812640ba97d4e1f3f89ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ROLE_TITLE, measure_col=ROLE_DEPTNAME.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "ROLE_TITLE", + "measure_col": "ROLE_DEPTNAME", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 119993.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..00c2a7a52e5639300828c2218ef458efc007449b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-9453-74c2-9c51-3ee60c2ee8f3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_TITLE\\\", SUM(CAST(\\\"ROLE_DEPTNAME\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_TITLE\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned Grouped Numeric Sum template with group_col=\\\"ROLE_TITLE\\\" and measure_col=\\\"ROLE_DEPTNAME\\\". \\\"ROLE_DEPTNAME\\\" is cast from TEXT to NUMERIC so SQLite sums the values reliably.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14220,"cached_input_tokens":12032,"output_tokens":446,"reasoning_output_tokens":336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..332c2ff55d1abd755a1e4d7fc44f7dd9677a02b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"ROLE_TITLE\", SUM(CAST(\"ROLE_DEPTNAME\" AS NUMERIC)) AS total_measure\nFROM \"c9\"\nGROUP BY \"ROLE_TITLE\"\nORDER BY total_measure DESC;","notes":"Uses the planned Grouped Numeric Sum template with group_col=\"ROLE_TITLE\" and measure_col=\"ROLE_DEPTNAME\". \"ROLE_DEPTNAME\" is cast from TEXT to NUMERIC so SQLite sums the values reliably."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_dea50bf981fde201/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33e1c571e7aa5d89664785e3253960e710fd4792 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7131, "bytes_utf8": 7131, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 420, "bytes_utf8": 420, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14225, "cached_input_tokens": 4480, "output_tokens": 492, "reasoning_output_tokens": 370}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..09d4dc8b84a72138def748f1fbe1afebe8b01c65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_e01ff74db4afdf19", + "api_calls": 0, + "input_tokens": 14225, + "cached_input_tokens": 4480, + "output_tokens": 492, + "total_tokens": 14717, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11573.68, + "sql_execution_elapsed_ms_total": 15.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..79dfd517f621de0bbfd0559721bce8d6ab3e7db1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:49.035564+00:00", + "ended_at": "2026-05-19T15:29:00.609275+00:00", + "elapsed_ms": 11573.68, + "prompt_metrics": { + "chars": 7131, + "bytes_utf8": 7131, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 777, + "bytes_utf8": 777, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 420, + "bytes_utf8": 420, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14225, + "cached_input_tokens": 4480, + "output_tokens": 492, + "reasoning_output_tokens": 370 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..150d8bb9a3415d9fab17aca6364b3b01edb51de1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ROLE_ROLLUP_1, measure_col=MGR_ID.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "ROLE_ROLLUP_1", + "measure_col": "MGR_ID", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20807.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6f389b9b45fbb7f081e2fb7efb1bccd67c41ba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-9c9f-7192-86f4-47dadb839715"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_ROLLUP_1\\\", SUM(CAST(\\\"MGR_ID\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"ROLE_ROLLUP_1\\\" and measure_col=\\\"MGR_ID\\\". Added CAST(\\\"MGR_ID\\\" AS INTEGER) because the schema stores it as TEXT while the template requires numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14225,"cached_input_tokens":4480,"output_tokens":492,"reasoning_output_tokens":370}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7e1edd227b175cad3f4645fb9b18f6cc8bb97a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"ROLE_ROLLUP_1\", SUM(CAST(\"MGR_ID\" AS INTEGER)) AS total_measure\nFROM \"c9\"\nGROUP BY \"ROLE_ROLLUP_1\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with group_col=\"ROLE_ROLLUP_1\" and measure_col=\"MGR_ID\". Added CAST(\"MGR_ID\" AS INTEGER) because the schema stores it as TEXT while the template requires numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_e01ff74db4afdf19/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e470b2487125616cf0376e8e5065ce74ad3a6577 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7685, "bytes_utf8": 7685, "lines": 216, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 642, "bytes_utf8": 642, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14357, "cached_input_tokens": 12032, "output_tokens": 595, "reasoning_output_tokens": 415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9a144e9fc07cc41344d76386171aedb4e92041fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_ee89430e34137537", + "api_calls": 0, + "input_tokens": 14357, + "cached_input_tokens": 12032, + "output_tokens": 595, + "total_tokens": 14952, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12350.97, + "sql_execution_elapsed_ms_total": 18.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9d04173080403b365b4ce28946414b5466cb9a40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:46.605143+00:00", + "ended_at": "2026-05-19T15:51:58.956136+00:00", + "elapsed_ms": 12350.97, + "prompt_metrics": { + "chars": 7685, + "bytes_utf8": 7685, + "lines": 216, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1013, + "bytes_utf8": 1013, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 642, + "bytes_utf8": 642, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14357, + "cached_input_tokens": 12032, + "output_tokens": 595, + "reasoning_output_tokens": 415 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5197e214e745d3b81ccd08153aeae7f9bd6aa027 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,216 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ROLE_DEPTNAME, measure_col=MGR_ID.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "ROLE_DEPTNAME", + "measure_col": "MGR_ID", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 20807.92, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a776f84b47c5fa759bdc1dc9ed22cf6c0dbf740 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-a1c2-7e41-a22f-04299017d4e3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"ROLE_DEPTNAME\\\", SUM(CAST(\\\"MGR_ID\\\" AS NUMERIC)) AS group_value\\n FROM \\\"c9\\\"\\n GROUP BY \\\"ROLE_DEPTNAME\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"ROLE_DEPTNAME\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"ROLE_DEPTNAME\\\" and measure_col=\\\"MGR_ID\\\". CAST is used because the schema stores \\\"MGR_ID\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14357,"cached_input_tokens":12032,"output_tokens":595,"reasoning_output_tokens":415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7fdc8176e5da8fafd859589f726ac55ce34c617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"ROLE_DEPTNAME\", SUM(CAST(\"MGR_ID\" AS NUMERIC)) AS group_value\n FROM \"c9\"\n GROUP BY \"ROLE_DEPTNAME\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"ROLE_DEPTNAME\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"ROLE_DEPTNAME\" and measure_col=\"MGR_ID\". CAST is used because the schema stores \"MGR_ID\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_ee89430e34137537/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6340d1aae124d4c759863a9bb69b4b21b45f2773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "c9", + "model": "v2-cli:codex", + "run_id": "v2q_c9_f7cf647c84accfb0", + "api_calls": 0, + "input_tokens": 14197, + "cached_input_tokens": 13696, + "output_tokens": 307, + "total_tokens": 14504, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8275.26, + "sql_execution_elapsed_ms_total": 12.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b467038cbacb91f01cd68a3df68b2f099cfd2a0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,214 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c9 +- dataset_name: Amazon Employee Access Challenge +- table_name: c9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`. +- task_type: regression +- target_column: ROLE_FAMILY +- main_row_count: 32769 +- important_fields: +- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION. +- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE. +- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID. +- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1. +- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2. +- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME. +- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE. +- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC. +- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY. +- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE. +- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']] +- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE'] +- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge + +SQLite schema snapshot: +{ + "table_name": "c9", + "quoted_table_name": "\"c9\"", + "row_count": 32769, + "columns": [ + { + "name": "ACTION", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "RESOURCE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MGR_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_ROLLUP_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_DEPTNAME", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_TITLE", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY_DESC", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_FAMILY", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ROLE_CODE", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "ACTION": "1", + "RESOURCE": "39353", + "MGR_ID": "85475", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118300", + "ROLE_DEPTNAME": "123472", + "ROLE_TITLE": "117905", + "ROLE_FAMILY_DESC": "117906", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "117908" + }, + { + "ACTION": "1", + "RESOURCE": "17183", + "MGR_ID": "1540", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "123125", + "ROLE_TITLE": "118536", + "ROLE_FAMILY_DESC": "118536", + "ROLE_FAMILY": "308574", + "ROLE_CODE": "118539" + }, + { + "ACTION": "1", + "RESOURCE": "36724", + "MGR_ID": "14457", + "ROLE_ROLLUP_1": "118219", + "ROLE_ROLLUP_2": "118220", + "ROLE_DEPTNAME": "117884", + "ROLE_TITLE": "117879", + "ROLE_FAMILY_DESC": "267952", + "ROLE_FAMILY": "19721", + "ROLE_CODE": "117880" + }, + { + "ACTION": "1", + "RESOURCE": "36135", + "MGR_ID": "5396", + "ROLE_ROLLUP_1": "117961", + "ROLE_ROLLUP_2": "118343", + "ROLE_DEPTNAME": "119993", + "ROLE_TITLE": "118321", + "ROLE_FAMILY_DESC": "240983", + "ROLE_FAMILY": "290919", + "ROLE_CODE": "118322" + }, + { + "ACTION": "1", + "RESOURCE": "42680", + "MGR_ID": "5905", + "ROLE_ROLLUP_1": "117929", + "ROLE_ROLLUP_2": "117930", + "ROLE_DEPTNAME": "119569", + "ROLE_TITLE": "119323", + "ROLE_FAMILY_DESC": "123932", + "ROLE_FAMILY": "19793", + "ROLE_CODE": "119325" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ROLE_ROLLUP_2.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "ROLE_ROLLUP_2", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 235280.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..343f5c26411320c70868464e6ce392d0dc3a1786 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-51af-7b70-9573-636f12e4049d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ROLE_ROLLUP_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to ROLE_ROLLUP_2 to return the count distribution by subgroup.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14197,"cached_input_tokens":13696,"output_tokens":307,"reasoning_output_tokens":217}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_f7cf647c84accfb0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9ed40f5d21a7ff98fc26166723f82599492b0b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=ever_married, condition_col=ever_married. +Result preview: [{"ever_married": "Yes", "condition_rate": 1.0}, {"ever_married": "No", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..63dcdcbfadc7f2cff457b910b6ae2f17de419d46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_018abcbfdff638e0 +-- problem_id: v2p_m7_afd9fc4b8f1e49bf +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", + AVG(CASE WHEN "ever_married" = 'Yes' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c0ba9b4d1ec84805c96e8715cf4916c763c3aff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"ever_married\",\n AVG(CASE WHEN \"ever_married\" = 'Yes' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ever_married\\\",\\n AVG(CASE WHEN \\\"ever_married\\\" = 'Yes' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"ever_married\", \"condition_rate\"], \"rows\": [{\"ever_married\": \"Yes\", \"condition_rate\": 1.0}, {\"ever_married\": \"No\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ca12d9a0289cd9f9b284d892f740624c7d76b4c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:00:08.151950+00:00", + "ended_at": "2026-05-19T16:00:18.330804+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_018abcbfdff638e0", + "problem_id": "v2p_m7_afd9fc4b8f1e49bf", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=ever_married, condition_col=ever_married.", + "bindings": { + "group_col": "ever_married", + "condition_col": "ever_married", + "condition_value": "Yes", + "positive_value": "Yes", + "negative_value": "No", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_018abcbfdff638e0.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_018abcbfdff638e0", + "api_calls": 0, + "input_tokens": 14344, + "cached_input_tokens": 12032, + "output_tokens": 422, + "total_tokens": 14766, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10173.7, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ffd89ac95209fb5dbf91cfc844024c1dded04a38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:18.327673+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10173.7, "started_at": "2026-05-19T16:00:08.153199+00:00", "ended_at": "2026-05-19T16:00:18.326925+00:00", "prompt_metrics": {"chars": 7915, "bytes_utf8": 7915, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14344, "cached_input_tokens": 12032, "output_tokens": 422, "reasoning_output_tokens": 307}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ever_married\\\",\\n AVG(CASE WHEN \\\"ever_married\\\" = 'Yes' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Instantiated the Grouped Condition Rate template with \\\"group_col\\\" and \\\"condition_col\\\" both bound to \\\"ever_married\\\", using condition_value = 'Yes'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..33cfd89ebc7ae4873c9706b4653fe03fcb8ea535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_018abcbfdff638e0", + "api_calls": 0, + "input_tokens": 14344, + "cached_input_tokens": 12032, + "output_tokens": 422, + "total_tokens": 14766, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10173.7, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_018abcbfdff638e0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..400764dc5483463c0a1c07125d1ae3a0e14002f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Yes", "support": 3353, "support_share": 0.6561643835616439, "cumulative_support": 3353}, {"value_label": "No", "support": 1757, "support_share": 0.34383561643835614, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f18eed073880086bd4b1ab0d6a77422bfe5d9c4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_020fe97029ead56e +-- problem_id: v2p_m7_e264ac72ed3806ef +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ever_married" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "ever_married" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f88ad264eb9c6a93fe8182f3ec1cbd130db665b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_020fe97029ead56e\n-- problem_id: v2p_m7_e264ac72ed3806ef\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"ever_married\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"ever_married\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_020fe97029ead56e\\n-- problem_id: v2p_m7_e264ac72ed3806ef\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"ever_married\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"ever_married\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Yes\", \"support\": 3353, \"support_share\": 0.6561643835616439, \"cumulative_support\": 3353}, {\"value_label\": \"No\", \"support\": 1757, \"support_share\": 0.34383561643835614, \"cumulative_support\": 5110}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..81881a9235a65c20e3f8c21fc4bbcecb5beb907f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.867730+00:00", + "ended_at": "2026-05-19T16:09:16.869805+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_020fe97029ead56e", + "problem_id": "v2p_m7_e264ac72ed3806ef", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=ever_married.", + "bindings": { + "group_col": "ever_married" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_020fe97029ead56e.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_020fe97029ead56e/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..759692d90caf0b965c74ef9282cdf48d069fa495 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Never_worked", "age": "17", "total_measure": 178178.0, "share_within_group": 21.16035281109975}, {"work_type": "Never_worked", "age": "14", "total_measure": 164629.0, "share_within_group": 19.551278625523583}, {"work_type": "Never_worked", "age": "16", "total_measure": 162908.0, "share_within_group": 19.346893307538743}, {"work_type": "Never_worked", "age": "15", "total_measure": 98020.0, "share_within_group": 11.640818633860507}, {"work_type": "Never_worked", "age": "18", "total_measure": 97628.0, "share_within_group": 11.59426486009522}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9818b9b9b5b8a2912d22f60a603c3f79f9d22cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_040d5de4a5685606 +-- problem_id: v2p_m7_30e71126e6052ee6 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "age", + SUM(CAST(NULLIF("id", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("id", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("id", '') AS REAL))) OVER (PARTITION BY "work_type") AS "share_within_group" +FROM "m7" +GROUP BY "work_type", "age" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68402cdd4411bf14381de8ff3188d29c7eccba97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"work_type\", \"age\",\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"id\", '') AS REAL))) OVER (PARTITION BY \"work_type\") AS \"share_within_group\"\nFROM \"m7\"\nGROUP BY \"work_type\", \"age\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"work_type\\\", \\\"age\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL))) OVER (PARTITION BY \\\"work_type\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\", \\\"age\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"work_type\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"work_type\": \"Never_worked\", \"age\": \"17\", \"total_measure\": 178178.0, \"share_within_group\": 21.16035281109975}, {\"work_type\": \"Never_worked\", \"age\": \"14\", \"total_measure\": 164629.0, \"share_within_group\": 19.551278625523583}, {\"work_type\": \"Never_worked\", \"age\": \"16\", \"total_measure\": 162908.0, \"share_within_group\": 19.346893307538743}, {\"work_type\": \"Never_worked\", \"age\": \"15\", \"total_measure\": 98020.0, \"share_within_group\": 11.640818633860507}, {\"work_type\": \"Never_worked\", \"age\": \"18\", \"total_measure\": 97628.0, \"share_within_group\": 11.59426486009522}, {\"work_type\": \"children\", \"age\": \"5\", \"total_measure\": 2360777.0, \"share_within_group\": 9.606964384542762}, {\"work_type\": \"children\", \"age\": \"2\", \"total_measure\": 2035242.0, \"share_within_group\": 8.282229709932611}, {\"work_type\": \"Never_worked\", \"age\": \"13\", \"total_measure\": 65318.0, \"share_within_group\": 7.757141313267707}, {\"work_type\": \"children\", \"age\": \"8\", \"total_measure\": 1830252.0, \"share_within_group\": 7.4480418009571245}, {\"work_type\": \"Never_worked\", \"age\": \"23\", \"total_measure\": 61408.0, \"share_within_group\": 7.292791171884371}, {\"work_type\": \"children\", \"age\": \"12\", \"total_measure\": 1684471.0, \"share_within_group\": 6.854799459582641}, {\"work_type\": \"children\", \"age\": \"9\", \"total_measure\": 1500882.0, \"share_within_group\": 6.107700947358141}, {\"work_type\": \"children\", \"age\": \"13\", \"total_measure\": 1466473.0, \"share_within_group\": 5.967676693687535}, {\"work_type\": \"children\", \"age\": \"3\", \"total_measure\": 1420169.0, \"share_within_group\": 5.779246834000716}, {\"work_type\": \"children\", \"age\": \"11\", \"total_measure\": 1351447.0, \"share_within_group\": 5.499588989810203}, {\"work_type\": \"Self-employed\", \"age\": \"78\", \"total_measure\": 1449141.0, \"share_within_group\": 4.977043089477944}, {\"work_type\": \"children\", \"age\": \"10\", \"total_measure\": 1211238.0, \"share_within_group\": 4.9290213888075005}, {\"work_type\": \"children\", \"age\": \"14\", \"total_measure\": 1155400.0, \"share_within_group\": 4.701793794966957}, {\"work_type\": \"children\", \"age\": \"7\", \"total_measure\": 1130871.0, \"share_within_group\": 4.6019752905557185}, {\"work_type\": \"Self-employed\", \"age\": \"80\", \"total_measure\": 1199727.0, \"share_within_group\": 4.120436158117192}, {\"work_type\": \"Self-employed\", \"age\": \"79\", \"total_measure\": 1128844.0, \"share_within_group\": 3.8769900439630374}, {\"work_type\": \"children\", \"age\": \"4\", \"total_measure\": 883045.0, \"share_within_group\": 3.5934702282123907}, {\"work_type\": \"children\", \"age\": \"6\", \"total_measure\": 801342.0, \"share_within_group\": 3.26098740111339}, {\"work_type\": \"Govt_job\", \"age\": \"53\", \"total_measure\": 776952.0, \"share_within_group\": 3.2384298071989868}, {\"work_type\": \"Govt_job\", \"age\": \"50\", \"total_measure\": 774871.0, \"share_within_group\": 3.229755947772946}, {\"work_type\": \"Govt_job\", \"age\": \"42\", \"total_measure\": 754113.0, \"share_within_group\": 3.1432340957951705}, {\"work_type\": \"Govt_job\", \"age\": \"52\", \"total_measure\": 726085.0, \"share_within_group\": 3.0264100054573206}, {\"work_type\": \"Self-employed\", \"age\": \"82\", \"total_measure\": 864448.0, \"share_within_group\": 2.9689277610757197}, {\"work_type\": \"Self-employed\", \"age\": \"81\", \"total_measure\": 837029.0, \"share_within_group\": 2.874757804894509}, {\"work_type\": \"Govt_job\", \"age\": \"37\", \"total_measure\": 656047.0, \"share_within_group\": 2.73448315947893}, {\"work_type\": \"Self-employed\", \"age\": \"61\", \"total_measure\": 795842.0, \"share_within_group\": 2.733301953651374}, {\"work_type\": \"Self-employed\", \"age\": \"69\", \"total_measure\": 790898.0, \"share_within_group\": 2.716321893716296}, {\"work_type\": \"Govt_job\", \"age\": \"59\", \"total_measure\": 650158.0, \"share_within_group\": 2.7099370959710236}, {\"work_type\": \"Self-employed\", \"age\": \"72\", \"total_measure\": 774724.0, \"share_within_group\": 2.660772644244218}, {\"work_type\": \"Govt_job\", \"age\": \"55\", \"total_measure\": 636291.0, \"share_within_group\": 2.6521377645626116}, {\"work_type\": \"Self-employed\", \"age\": \"65\", \"total_measure\": 769918.0, \"share_within_group\": 2.644266542292765}, {\"work_type\": \"Self-employed\", \"age\": \"63\", \"total_measure\": 741406.0, \"share_within_group\": 2.5463427015021205}, {\"work_type\": \"Govt_job\", \"age\": \"45\", \"total_measure\": 604306.0, \"share_within_group\": 2.5188204201407434}, {\"work_type\": \"Self-employed\", \"age\": \"62\", \"total_measure\": 713833.0, \"share_within_group\": 2.4516438356870096}, {\"work_type\": \"Govt_job\", \"age\": \"66\", \"total_measure\": 586498.0, \"share_within_group\": 2.4445945245814302}, {\"work_type\": \"Self-employed\", \"age\": \"57\", \"total_measure\": 698581.0, \"share_within_group\": 2.399261175062048}, {\"work_type\": \"Self-employed\", \"age\": \"51\", \"total_measure\": 695349.0, \"share_within_group\": 2.3881609417064307}, {\"work_type\": \"Govt_job\", \"age\": \"49\", \"total_measure\": 562378.0, \"share_within_group\": 2.3440594504074275}, {\"work_type\": \"Govt_job\", \"age\": \"58\", \"total_measure\": 554659.0, \"share_within_group\": 2.3118857257992547}, {\"work_type\": \"Private\", \"age\": \"57\", \"total_measure\": 2490013.0, \"share_within_group\": 2.30381117122197}, {\"work_type\": \"Self-employed\", \"age\": \"77\", \"total_measure\": 664795.0, \"share_within_group\": 2.283223896549397}, {\"work_type\": \"Self-employed\", \"age\": \"56\", \"total_measure\": 663586.0, \"share_within_group\": 2.2790716124754673}, {\"work_type\": \"Self-employed\", \"age\": \"43\", \"total_measure\": 659731.0, \"share_within_group\": 2.265831699237254}, {\"work_type\": \"Self-employed\", \"age\": \"71\", \"total_measure\": 648222.0, \"share_within_group\": 2.226304290298578}, {\"work_type\": \"Govt_job\", \"age\": \"44\", \"total_measure\": 525324.0, \"share_within_group\": 2.189613901549903}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9554f5a492b5b95e8fac1cadee9b0476a4d08c3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:36:12.794036+00:00", + "ended_at": "2026-05-19T15:36:26.238091+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_040d5de4a5685606", + "problem_id": "v2p_m7_30e71126e6052ee6", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=work_type, measure_col=id.", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "item_col": "age", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_040d5de4a5685606.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_040d5de4a5685606", + "api_calls": 0, + "input_tokens": 14394, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15086, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13425.71, + "sql_execution_elapsed_ms_total": 11.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d090aa04d33bf1e2210a191b54769bfdc691c7e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:26.223628+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13425.71, "started_at": "2026-05-19T15:36:12.796459+00:00", "ended_at": "2026-05-19T15:36:26.222213+00:00", "prompt_metrics": {"chars": 8054, "bytes_utf8": 8054, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14394, "cached_input_tokens": 13696, "output_tokens": 692, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"work_type\\\", \\\"age\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL))) OVER (PARTITION BY \\\"work_type\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\", \\\"age\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided within-group share template with group_col=\\\"work_type\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". Casted \\\"id\\\" from TEXT to REAL and treated empty strings as NULL for SQLite-safe aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..501e3bc300a68c3c060a4d955115861b9b33d2e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_040d5de4a5685606", + "api_calls": 0, + "input_tokens": 14394, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15086, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13425.71, + "sql_execution_elapsed_ms_total": 11.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_040d5de4a5685606/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c71c81457f7356357c2e34fa5b00172e2888df05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=gender. +Result preview: [{"gender": "Female", "row_count": 2994}, {"gender": "Male", "row_count": 2115}, {"gender": "Other", "row_count": 1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d911cc56de7cb901acb6e85167319ef6cb1d2fc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_045107c486867c6e +-- problem_id: v2p_m7_65e38cfa57828cdf +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "gender" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..54a2f441b303df895e646449bf708b17b94d82da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"gender\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"gender\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"gender\", \"row_count\"], \"rows\": [{\"gender\": \"Female\", \"row_count\": 2994}, {\"gender\": \"Male\", \"row_count\": 2115}, {\"gender\": \"Other\", \"row_count\": 1}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9dd89137f9a06863910934d3d3f1601fe53d796a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:33:04.352529+00:00", + "ended_at": "2026-05-19T15:33:17.421950+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_045107c486867c6e", + "problem_id": "v2p_m7_65e38cfa57828cdf", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=gender.", + "bindings": { + "group_col": "gender", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=16" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_045107c486867c6e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_045107c486867c6e", + "api_calls": 0, + "input_tokens": 14251, + "cached_input_tokens": 12032, + "output_tokens": 209, + "total_tokens": 14460, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13059.69, + "sql_execution_elapsed_ms_total": 4.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d4d653ea6d321fc86b0db4c0fa0f1062ac2c67af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:17.415122+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13059.69, "started_at": "2026-05-19T15:33:04.353407+00:00", "ended_at": "2026-05-19T15:33:17.413131+00:00", "prompt_metrics": {"chars": 7567, "bytes_utf8": 7567, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 275, "bytes_utf8": 275, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14251, "cached_input_tokens": 12032, "output_tokens": 209, "reasoning_output_tokens": 131}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"gender\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"gender\\\" on the single table \\\"m7\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b77dd765250b7a82e82d8d64767d1c401b1f1a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_045107c486867c6e", + "api_calls": 0, + "input_tokens": 14251, + "cached_input_tokens": 12032, + "output_tokens": 209, + "total_tokens": 14460, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13059.69, + "sql_execution_elapsed_ms_total": 4.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_045107c486867c6e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9d57be0ead7c5f4903d64553590019271482185 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "percentile_measure": 79.0}, {"Residence_type": "Rural", "percentile_measure": 78.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2202e6c0815ff8c3a6c85c3f3fe1ad8e6d721e71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_05b6fd3ca209a6ec +-- problem_id: v2p_m7_ce9a616847a6a64c +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Residence_type" + ) AS "cnt" + FROM "m7" + WHERE "age" IS NOT NULL AND "age" <> '' +) +SELECT + "Residence_type", + MIN("age_value") AS "percentile_measure" +FROM "ranked" +WHERE "rn" >= CAST((0.95 * "cnt") + 0.999999999 AS INTEGER) +GROUP BY "Residence_type" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0a0a42c7dc9a8200b5e443ba206b70c01fd88337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Residence_type\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Residence_type\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Residence_type\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL AND \"age\" <> ''\n)\nSELECT\n \"Residence_type\",\n MIN(\"age_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" >= CAST((0.95 * \"cnt\") + 0.999999999 AS INTEGER)\nGROUP BY \"Residence_type\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL AND \\\"age\\\" <> ''\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" >= CAST((0.95 * \\\"cnt\\\") + 0.999999999 AS INTEGER)\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Residence_type\", \"percentile_measure\"], \"rows\": [{\"Residence_type\": \"Urban\", \"percentile_measure\": 79.0}, {\"Residence_type\": \"Rural\", \"percentile_measure\": 78.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a0427d88ff619c1d97f5a5515391691349544a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:58:31.843565+00:00", + "ended_at": "2026-05-19T15:59:03.253752+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_05b6fd3ca209a6ec", + "problem_id": "v2p_m7_ce9a616847a6a64c", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_05b6fd3ca209a6ec.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_05b6fd3ca209a6ec", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1861, + "total_tokens": 16176, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 31393.73, + "sql_execution_elapsed_ms_total": 11.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29a88ca74ef1031df732550cc01dd74af8c0a86d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:03.240432+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 31393.73, "started_at": "2026-05-19T15:58:31.845906+00:00", "ended_at": "2026-05-19T15:59:03.239672+00:00", "prompt_metrics": {"chars": 7841, "bytes_utf8": 7841, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 842, "bytes_utf8": 842, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 1861, "reasoning_output_tokens": 1617}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL AND \\\"age\\\" <> ''\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" >= CAST((0.95 * \\\"cnt\\\") + 0.999999999 AS INTEGER)\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile with a nearest-rank window-function approach, casting \\\"age\\\" from TEXT to REAL and excluding blank ages.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c5c53544e0194e6dc2862e4e318a0e7e2b4bc74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_05b6fd3ca209a6ec", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1861, + "total_tokens": 16176, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 31393.73, + "sql_execution_elapsed_ms_total": 11.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_05b6fd3ca209a6ec/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cad3bfc8a681a820c5cd0503589f00b512bcc550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "0", "total_measure": 189890.0}, {"hypertension": "1", "total_measure": 30998.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8943b22e02b6eb638c9b54f0616e47ae6919839c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_06e65bec3c3ff169 +-- problem_id: v2p_m7_d3a9c6a25dae8945 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", SUM(CAST("age" AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "hypertension" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a31258728652654f42a82a29e2721a0334e22ef7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"hypertension\", SUM(CAST(\"age\" AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"hypertension\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"hypertension\", \"total_measure\"], \"rows\": [{\"hypertension\": \"0\", \"total_measure\": 189890.0}, {\"hypertension\": \"1\", \"total_measure\": 30998.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c023eb844dfa6dcec498d23018f808df037f522d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:28:46.742383+00:00", + "ended_at": "2026-05-19T15:28:54.923467+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_06e65bec3c3ff169", + "problem_id": "v2p_m7_d3a9c6a25dae8945", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=hypertension, measure_col=age.", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_06e65bec3c3ff169.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_06e65bec3c3ff169", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 0, + "output_tokens": 302, + "total_tokens": 14579, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8175.15, + "sql_execution_elapsed_ms_total": 1.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..495fb8456a26024a5a8a645618ca51d37f20bf98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:54.920216+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8175.15, "started_at": "2026-05-19T15:28:46.744325+00:00", "ended_at": "2026-05-19T15:28:54.919507+00:00", "prompt_metrics": {"chars": 7658, "bytes_utf8": 7658, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 0, "output_tokens": 302, "reasoning_output_tokens": 200}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"hypertension\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL so SQLite sums it numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15a5ad15fb2b24bdca58ea5d99a2e5f2b9b360f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_06e65bec3c3ff169", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 0, + "output_tokens": 302, + "total_tokens": 14579, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8175.15, + "sql_execution_elapsed_ms_total": 1.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_06e65bec3c3ff169/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e36a3b3abb615322884cd157c4348984df7e2410 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level. +Result preview: [{"avg_glucose_level": 271.74}, {"avg_glucose_level": 267.76}, {"avg_glucose_level": 267.61}, {"avg_glucose_level": 267.6}, {"avg_glucose_level": 266.59}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fcb3bb1fc8370ea10e27e2d1a65244fa978fc93a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_083637a4584ca0a1 +-- problem_id: v2p_m7_86a70b1aafaecf39 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("avg_glucose_level" AS REAL) AS "avg_glucose_level", + NTILE(10) OVER (ORDER BY CAST("avg_glucose_level" AS REAL) DESC) AS "tail_bucket" + FROM "m7" + WHERE "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' +) +SELECT "avg_glucose_level" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "avg_glucose_level" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15e2dad57edf83ad6caf178400832eb385854db3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"avg_glucose_level\" AS REAL) AS \"avg_glucose_level\",\n NTILE(10) OVER (ORDER BY CAST(\"avg_glucose_level\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m7\"\n WHERE \"avg_glucose_level\" IS NOT NULL\n AND \"avg_glucose_level\" <> ''\n)\nSELECT \"avg_glucose_level\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"avg_glucose_level\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"avg_glucose_level\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n)\\nSELECT \\\"avg_glucose_level\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"avg_glucose_level\\\" DESC;\", \"columns\": [\"avg_glucose_level\"], \"rows\": [{\"avg_glucose_level\": 271.74}, {\"avg_glucose_level\": 267.76}, {\"avg_glucose_level\": 267.61}, {\"avg_glucose_level\": 267.6}, {\"avg_glucose_level\": 266.59}, {\"avg_glucose_level\": 263.56}, {\"avg_glucose_level\": 263.32}, {\"avg_glucose_level\": 261.67}, {\"avg_glucose_level\": 260.85}, {\"avg_glucose_level\": 259.63}, {\"avg_glucose_level\": 256.74}, {\"avg_glucose_level\": 255.17}, {\"avg_glucose_level\": 254.95}, {\"avg_glucose_level\": 254.63}, {\"avg_glucose_level\": 254.6}, {\"avg_glucose_level\": 253.93}, {\"avg_glucose_level\": 253.86}, {\"avg_glucose_level\": 253.16}, {\"avg_glucose_level\": 252.72}, {\"avg_glucose_level\": 251.99}, {\"avg_glucose_level\": 251.6}, {\"avg_glucose_level\": 251.46}, {\"avg_glucose_level\": 250.89}, {\"avg_glucose_level\": 250.8}, {\"avg_glucose_level\": 250.2}, {\"avg_glucose_level\": 249.31}, {\"avg_glucose_level\": 249.29}, {\"avg_glucose_level\": 248.37}, {\"avg_glucose_level\": 248.24}, {\"avg_glucose_level\": 247.97}, {\"avg_glucose_level\": 247.87}, {\"avg_glucose_level\": 247.69}, {\"avg_glucose_level\": 247.51}, {\"avg_glucose_level\": 247.48}, {\"avg_glucose_level\": 246.53}, {\"avg_glucose_level\": 246.34}, {\"avg_glucose_level\": 244.3}, {\"avg_glucose_level\": 244.28}, {\"avg_glucose_level\": 243.73}, {\"avg_glucose_level\": 243.59}, {\"avg_glucose_level\": 243.58}, {\"avg_glucose_level\": 243.53}, {\"avg_glucose_level\": 243.52}, {\"avg_glucose_level\": 243.5}, {\"avg_glucose_level\": 242.94}, {\"avg_glucose_level\": 242.84}, {\"avg_glucose_level\": 242.62}, {\"avg_glucose_level\": 242.52}, {\"avg_glucose_level\": 242.3}, {\"avg_glucose_level\": 240.86}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d9edaada1e9e0a09353f505346892756dcef011 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:45:02.626078+00:00", + "ended_at": "2026-05-19T15:45:18.821780+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_083637a4584ca0a1", + "problem_id": "v2p_m7_86a70b1aafaecf39", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=avg_glucose_level.", + "bindings": { + "measure_col": "avg_glucose_level", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=66" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_083637a4584ca0a1.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_083637a4584ca0a1", + "api_calls": 0, + "input_tokens": 14336, + "cached_input_tokens": 13696, + "output_tokens": 542, + "total_tokens": 14878, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16175.5, + "sql_execution_elapsed_ms_total": 15.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..533fe44702846ff57c3273b5350609f6d97b9b09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:18.803947+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16175.5, "started_at": "2026-05-19T15:45:02.627423+00:00", "ended_at": "2026-05-19T15:45:18.802960+00:00", "prompt_metrics": {"chars": 7849, "bytes_utf8": 7849, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 667, "bytes_utf8": 667, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14336, "cached_input_tokens": 13696, "output_tokens": 542, "reasoning_output_tokens": 361}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"avg_glucose_level\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n)\\nSELECT \\\"avg_glucose_level\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"avg_glucose_level\\\" DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template with measure_col bound to avg_glucose_level. Casts the TEXT field to REAL for correct numeric ranking and excludes blank values before applying NTILE(10).\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4cd672edc221513484e000a9cd5d951b58d90b05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_083637a4584ca0a1", + "api_calls": 0, + "input_tokens": 14336, + "cached_input_tokens": 13696, + "output_tokens": 542, + "total_tokens": 14878, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16175.5, + "sql_execution_elapsed_ms_total": 15.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_083637a4584ca0a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..499ebfcc7c27fc0499b31ec6d471deb4ba4d4207 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:05:30.949598+00:00", + "ended_at": "2026-05-19T16:05:38.755380+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0849e89020fbe71e", + "problem_id": "v2p_m7_b4c6b19b46407e47", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ever_married.", + "bindings": { + "group_col": "ever_married", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60b10044baeb3af139fc0f93acc3024106b7608d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0849e89020fbe71e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:34.665778+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3714.33, "started_at": "2026-05-19T16:05:30.950711+00:00", "ended_at": "2026-05-19T16:05:34.665067+00:00", "prompt_metrics": {"chars": 7657, "bytes_utf8": 7657, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-35c3-74e1-8b25-e375e71eaeb3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:38.755252+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3087.05, "started_at": "2026-05-19T16:05:35.667159+00:00", "ended_at": "2026-05-19T16:05:38.754249+00:00", "prompt_metrics": {"chars": 7657, "bytes_utf8": 7657, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-4835-74e0-94b6-98d5ead9035e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..32eb0b76626fe2eabec8bf94d9ca7fc1ccbc0471 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"avg_glucose_level": "93.88", "support": 6, "avg_response": 22.88333333333333}, {"avg_glucose_level": "91.68", "support": 5, "avg_response": 32.98}, {"avg_glucose_level": "72.49", "support": 5, "avg_response": 31.0}, {"avg_glucose_level": "91.85", "support": 5, "avg_response": 26.660000000000004}, {"avg_glucose_level": "83.16", "support": 5, "avg_response": 23.759999999999998}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed39e3a9f6ab6c400a01ed31b53171e38615b6cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_0bbce54208461cea +-- problem_id: v2p_m7_ecdbc39534dd105d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "avg_glucose_level", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m7" +GROUP BY "avg_glucose_level" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fe790d32b6a25d58b1b0ce6d5367d7c29ec83eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_0bbce54208461cea\n-- problem_id: v2p_m7_ecdbc39534dd105d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"avg_glucose_level\",\n COUNT(*) AS support,\n AVG(\"bmi\") AS avg_response\nFROM \"m7\"\nGROUP BY \"avg_glucose_level\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_0bbce54208461cea\\n-- problem_id: v2p_m7_ecdbc39534dd105d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"avg_glucose_level\\\",\\n COUNT(*) AS support,\\n AVG(\\\"bmi\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"avg_glucose_level\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"avg_glucose_level\", \"support\", \"avg_response\"], \"rows\": [{\"avg_glucose_level\": \"93.88\", \"support\": 6, \"avg_response\": 22.88333333333333}, {\"avg_glucose_level\": \"91.68\", \"support\": 5, \"avg_response\": 32.98}, {\"avg_glucose_level\": \"72.49\", \"support\": 5, \"avg_response\": 31.0}, {\"avg_glucose_level\": \"91.85\", \"support\": 5, \"avg_response\": 26.660000000000004}, {\"avg_glucose_level\": \"83.16\", \"support\": 5, \"avg_response\": 23.759999999999998}, {\"avg_glucose_level\": \"73\", \"support\": 5, \"avg_response\": 22.56}, {\"avg_glucose_level\": \"84.1\", \"support\": 5, \"avg_response\": 20.34}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cc30b576f9ff3933ce723c25a65d483dacbe7fb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.935607+00:00", + "ended_at": "2026-05-19T16:09:16.939525+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0bbce54208461cea", + "problem_id": "v2p_m7_ecdbc39534dd105d", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bmi, key_col=avg_glucose_level.", + "bindings": { + "key_col": "avg_glucose_level", + "measure_col": "bmi", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0bbce54208461cea.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0bbce54208461cea/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fdf7d13b50b653804979a33e65a9f5bbf7c9b79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "total_measure": 113035.36}, {"Residence_type": "Rural", "total_measure": 107852.64}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c8ef8bcfd5aa96e9b8c1b6545fec03ad2c9dd0a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_0c8f6b8b31c734d2 +-- problem_id: v2p_m7_fac9d767bd040452 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "Residence_type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..afd84b922bfc6193641d7336bcbfd4ccbe41a1fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"Residence_type\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Residence_type\", \"total_measure\"], \"rows\": [{\"Residence_type\": \"Urban\", \"total_measure\": 113035.36}, {\"Residence_type\": \"Rural\", \"total_measure\": 107852.64}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.67}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..79b7e719dc653774d2a38aa65da6514d75c19940 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:29:58.488957+00:00", + "ended_at": "2026-05-19T15:30:31.771673+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0c8f6b8b31c734d2", + "problem_id": "v2p_m7_fac9d767bd040452", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0c8f6b8b31c734d2.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0c8f6b8b31c734d2", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 283, + "total_tokens": 14560, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33271.42, + "sql_execution_elapsed_ms_total": 5.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8f4bf3633099cc1da8107be6a4b351bf7dee465 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:31.763053+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 33271.42, "started_at": "2026-05-19T15:29:58.489837+00:00", "ended_at": "2026-05-19T15:30:31.761292+00:00", "prompt_metrics": {"chars": 7659, "bytes_utf8": 7659, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 12032, "output_tokens": 283, "reasoning_output_tokens": 178}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"Residence_type\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL and treat empty strings as NULL for SQLite-safe numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3aa77981de0a7cda8a52119e6990003e903d9081 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0c8f6b8b31c734d2", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 283, + "total_tokens": 14560, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33271.42, + "sql_execution_elapsed_ms_total": 5.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0c8f6b8b31c734d2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..86c4754409efa3328f86eb804b2ef2ecec6f90f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=stroke. +Result preview: [{"stroke": "0", "row_count": 4861}, {"stroke": "1", "row_count": 249}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b89cf34937deae859aad663b330f5b88377bba20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_0e7aeb809c2c9484 +-- problem_id: v2p_m7_10739d7870ea8cdd +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", COUNT(*) AS row_count +FROM "m7" +GROUP BY "stroke" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5cd288b0ba44d70aa5ae67bc2efe95f240d60c5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"stroke\", COUNT(*) AS row_count\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"stroke\", \"row_count\"], \"rows\": [{\"stroke\": \"0\", \"row_count\": 4861}, {\"stroke\": \"1\", \"row_count\": 249}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..883dce692fb838fb3a30bbbe10f866592cc4b6e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:32:42.040305+00:00", + "ended_at": "2026-05-19T15:33:04.352023+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_0e7aeb809c2c9484", + "problem_id": "v2p_m7_10739d7870ea8cdd", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=stroke.", + "bindings": { + "group_col": "stroke", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=15" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e7aeb809c2c9484.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0e7aeb809c2c9484", + "api_calls": 0, + "input_tokens": 14250, + "cached_input_tokens": 12032, + "output_tokens": 188, + "total_tokens": 14438, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22306.87, + "sql_execution_elapsed_ms_total": 1.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c1a10dccc972184e600d8c06dec679e4c0b69dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:04.349309+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22306.87, "started_at": "2026-05-19T15:32:42.041649+00:00", "ended_at": "2026-05-19T15:33:04.348549+00:00", "prompt_metrics": {"chars": 7563, "bytes_utf8": 7563, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 283, "bytes_utf8": 283, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14250, "cached_input_tokens": 12032, "output_tokens": 188, "reasoning_output_tokens": 111}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"stroke\\\" on the single table \\\"m7\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..914e098c1f247cd684cb5932fa8815f19fac8c08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_0e7aeb809c2c9484", + "api_calls": 0, + "input_tokens": 14250, + "cached_input_tokens": 12032, + "output_tokens": 188, + "total_tokens": 14438, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22306.87, + "sql_execution_elapsed_ms_total": 1.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_0e7aeb809c2c9484/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5761f7ace24892704dd8d22591a50a1d82b25e60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "group_value": 109220177.0}, {"gender": "Male", "group_value": 77329775.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f4aff941104dfd26a97cd50f54d6a608500bf850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_132f87c4ec2e4ebd +-- problem_id: v2p_m7_16255287b3d93568 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", SUM(CAST("id" AS REAL)) AS group_value + FROM "m7" + WHERE "gender" IS NOT NULL AND "gender" <> '' AND "id" IS NOT NULL AND "id" <> '' + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec4dcc82f6e51f2ffcfcd1f5faa8bc4b98d70598 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"gender\", SUM(CAST(\"id\" AS REAL)) AS group_value\n FROM \"m7\"\n WHERE \"gender\" IS NOT NULL AND \"gender\" <> '' AND \"id\" IS NOT NULL AND \"id\" <> ''\n GROUP BY \"gender\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"gender\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE \\\"gender\\\" IS NOT NULL AND \\\"gender\\\" <> '' AND \\\"id\\\" IS NOT NULL AND \\\"id\\\" <> ''\\n GROUP BY \\\"gender\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"gender\", \"group_value\"], \"rows\": [{\"gender\": \"Female\", \"group_value\": 109220177.0}, {\"gender\": \"Male\", \"group_value\": 77329775.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9e23a6dab55db5197b85f9c0df39df1c79d28e64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:49:54.157958+00:00", + "ended_at": "2026-05-19T15:50:07.842275+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_132f87c4ec2e4ebd", + "problem_id": "v2p_m7_16255287b3d93568", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_132f87c4ec2e4ebd.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_132f87c4ec2e4ebd", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 753, + "total_tokens": 15166, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13677.91, + "sql_execution_elapsed_ms_total": 2.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..16a94ce8732695e5f29986d87af99693222584b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:07.837731+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13677.91, "started_at": "2026-05-19T15:49:54.158926+00:00", "ended_at": "2026-05-19T15:50:07.836862+00:00", "prompt_metrics": {"chars": 8203, "bytes_utf8": 8203, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 772, "bytes_utf8": 772, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14413, "cached_input_tokens": 13696, "output_tokens": 753, "reasoning_output_tokens": 548}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE \\\"gender\\\" IS NOT NULL AND \\\"gender\\\" <> '' AND \\\"id\\\" IS NOT NULL AND \\\"id\\\" <> ''\\n GROUP BY \\\"gender\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Instantiated the Relative-to-Total Extreme Threshold template with group_col=\\\"gender\\\", measure_col=\\\"id\\\", and fraction_threshold=0.05. Cast \\\"id\\\" from TEXT to REAL for SQLite-safe summation and filtered out empty/null grouping or measure values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..33332e02769bb48bb55a446d20381c410515e262 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_132f87c4ec2e4ebd", + "api_calls": 0, + "input_tokens": 14413, + "cached_input_tokens": 13696, + "output_tokens": 753, + "total_tokens": 15166, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13677.91, + "sql_execution_elapsed_ms_total": 2.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_132f87c4ec2e4ebd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b017ca74bcd1d6bc548e9a1281ccbd0f02696fb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "percentile_measure": 69536.75}, {"gender": "Male", "percentile_measure": 68633.9}, {"gender": "Other", "percentile_measure": 56156.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..16cb773f8471978752c41a1b1dff445c11aa663b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_13d228db0d6f974e +-- problem_id: v2p_m7_9870be32854d69e4 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "gender", + CAST("id" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "gender" + ORDER BY CAST("id" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "gender" + ) AS "cnt" + FROM "m7" + WHERE "gender" IS NOT NULL + AND "gender" <> '' + AND "id" IS NOT NULL + AND "id" <> '' +), +"positions" AS ( + SELECT DISTINCT + "gender", + (0.95 * ("cnt" - 1)) + 1 AS "pos", + CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) AS "lower_rn", + CASE + WHEN ((0.95 * ("cnt" - 1)) + 1) > CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + THEN CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + 1 + ELSE CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + p."gender", + p."pos", + p."lower_rn", + p."upper_rn", + l."measure_value" AS "lower_value", + u."measure_value" AS "upper_value" + FROM "positions" AS p + JOIN "ranked" AS l + ON l."gender" = p."gender" + AND l."rn" = p."lower_rn" + JOIN "ranked" AS u + ON u."gender" = p."gender" + AND u."rn" = p."upper_rn" +) +SELECT + "gender", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e50d51a1469117ef626f43bfe2fd6c3c6b956eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"gender\",\n CAST(\"id\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"gender\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"gender\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"gender\" IS NOT NULL\n AND \"gender\" <> ''\n AND \"id\" IS NOT NULL\n AND \"id\" <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"gender\",\n (0.95 * (\"cnt\" - 1)) + 1 AS \"pos\",\n CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1) > CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n THEN CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) + 1\n ELSE CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"picked\" AS (\n SELECT\n p.\"gender\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n l.\"measure_value\" AS \"lower_value\",\n u.\"measure_value\" AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS l\n ON l.\"gender\" = p.\"gender\"\n AND l.\"rn\" = p.\"lower_rn\"\n JOIN \"ranked\" AS u\n ON u.\"gender\" = p.\"gender\"\n AND u.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n \"gender\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"gender\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"gender\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"gender\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"gender\\\" IS NOT NULL\\n AND \\\"gender\\\" <> ''\\n AND \\\"id\\\" IS NOT NULL\\n AND \\\"id\\\" <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"gender\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1) > CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) + 1\\n ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"gender\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n l.\\\"measure_value\\\" AS \\\"lower_value\\\",\\n u.\\\"measure_value\\\" AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS l\\n ON l.\\\"gender\\\" = p.\\\"gender\\\"\\n AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n JOIN \\\"ranked\\\" AS u\\n ON u.\\\"gender\\\" = p.\\\"gender\\\"\\n AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"gender\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"gender\", \"percentile_measure\"], \"rows\": [{\"gender\": \"Female\", \"percentile_measure\": 69536.75}, {\"gender\": \"Male\", \"percentile_measure\": 68633.9}, {\"gender\": \"Other\", \"percentile_measure\": 56156.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a9baede2e5269ebaa528bbbc4bf216e5f0f2c931 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:54:53.759318+00:00", + "ended_at": "2026-05-19T15:55:25.979638+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_13d228db0d6f974e", + "problem_id": "v2p_m7_9870be32854d69e4", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_13d228db0d6f974e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_13d228db0d6f974e", + "api_calls": 0, + "input_tokens": 14313, + "cached_input_tokens": 13696, + "output_tokens": 2419, + "total_tokens": 16732, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32198.27, + "sql_execution_elapsed_ms_total": 18.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99e4705250282563f4dade8f5ce38e1028a54099 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:25.959879+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 32198.27, "started_at": "2026-05-19T15:54:53.760836+00:00", "ended_at": "2026-05-19T15:55:25.959134+00:00", "prompt_metrics": {"chars": 7824, "bytes_utf8": 7824, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1778, "bytes_utf8": 1778, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14313, "cached_input_tokens": 13696, "output_tokens": 2419, "reasoning_output_tokens": 1823}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"gender\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"gender\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"gender\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"gender\\\" IS NOT NULL\\n AND \\\"gender\\\" <> ''\\n AND \\\"id\\\" IS NOT NULL\\n AND \\\"id\\\" <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"gender\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1) > CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) + 1\\n ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"gender\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n l.\\\""} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e92c92a59f6bdf672ccdd4b55d8da17e7c0fa9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_13d228db0d6f974e", + "api_calls": 0, + "input_tokens": 14313, + "cached_input_tokens": 13696, + "output_tokens": 2419, + "total_tokens": 16732, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32198.27, + "sql_execution_elapsed_ms_total": 18.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_13d228db0d6f974e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd1e4c6ded12133afa6009cdb626aa27ebeb9599 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "0", "percentile_measure": 43.0}, {"stroke": "1", "percentile_measure": 42.46}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..51d1690f6d3b94d4688326dbccef4091744be8db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/generated_sql.sql @@ -0,0 +1,62 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_18f0325df5c00bc7 +-- problem_id: v2p_m7_93ab2c67cc462947 +-- realization_mode: agent +-- source_kind: agent +WITH "__base" AS ( + SELECT + "stroke" AS "group_col", + CAST("bmi" AS REAL) AS "measure_col" + FROM "m7" + WHERE "bmi" IS NOT NULL + AND TRIM("bmi") <> "" +), +"__ranked" AS ( + SELECT + "group_col", + "measure_col", + ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn", + COUNT(*) OVER (PARTITION BY "group_col") AS "n" + FROM "__base" +), +"__params" AS ( + SELECT + "group_col", + (1.0 + 0.95 * (MAX("n") - 1)) AS "target_pos", + CAST((1.0 + 0.95 * (MAX("n") - 1)) AS INTEGER) AS "lower_pos", + CAST((1.0 + 0.95 * (MAX("n") - 1)) AS INTEGER) + CASE + WHEN (1.0 + 0.95 * (MAX("n") - 1)) > CAST((1.0 + 0.95 * (MAX("n") - 1)) AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_pos" + FROM "__ranked" + GROUP BY "group_col" +) +SELECT + p."group_col" AS "stroke", + CASE + WHEN p."lower_pos" = p."upper_pos" THEN + MAX(CASE WHEN r."rn" = p."lower_pos" THEN r."measure_col" END) + ELSE + MAX(CASE WHEN r."rn" = p."lower_pos" THEN r."measure_col" END) + + (p."target_pos" - p."lower_pos") * ( + MAX(CASE WHEN r."rn" = p."upper_pos" THEN r."measure_col" END) - + MAX(CASE WHEN r."rn" = p."lower_pos" THEN r."measure_col" END) + ) + END AS "percentile_measure" +FROM "__params" AS p +JOIN "__ranked" AS r + ON r."group_col" = p."group_col" +GROUP BY + p."group_col", + p."target_pos", + p."lower_pos", + p."upper_pos" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6a3019134b3773f7a9fd27b0b5c12330f8d4e92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n SELECT\n \"stroke\" AS \"group_col\",\n CAST(\"bmi\" AS REAL) AS \"measure_col\"\n FROM \"m7\"\n WHERE \"bmi\" IS NOT NULL\n AND TRIM(\"bmi\") <> \"\"\n),\n\"__ranked\" AS (\n SELECT\n \"group_col\",\n \"measure_col\",\n ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure_col\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"group_col\") AS \"n\"\n FROM \"__base\"\n),\n\"__params\" AS (\n SELECT\n \"group_col\",\n (1.0 + 0.95 * (MAX(\"n\") - 1)) AS \"target_pos\",\n CAST((1.0 + 0.95 * (MAX(\"n\") - 1)) AS INTEGER) AS \"lower_pos\",\n CAST((1.0 + 0.95 * (MAX(\"n\") - 1)) AS INTEGER) + CASE\n WHEN (1.0 + 0.95 * (MAX(\"n\") - 1)) > CAST((1.0 + 0.95 * (MAX(\"n\") - 1)) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_pos\"\n FROM \"__ranked\"\n GROUP BY \"group_col\"\n)\nSELECT\n p.\"group_col\" AS \"stroke\",\n CASE\n WHEN p.\"lower_pos\" = p.\"upper_pos\" THEN\n MAX(CASE WHEN r.\"rn\" = p.\"lower_pos\" THEN r.\"measure_col\" END)\n ELSE\n MAX(CASE WHEN r.\"rn\" = p.\"lower_pos\" THEN r.\"measure_col\" END) +\n (p.\"target_pos\" - p.\"lower_pos\") * (\n MAX(CASE WHEN r.\"rn\" = p.\"upper_pos\" THEN r.\"measure_col\" END) -\n MAX(CASE WHEN r.\"rn\" = p.\"lower_pos\" THEN r.\"measure_col\" END)\n )\n END AS \"percentile_measure\"\nFROM \"__params\" AS p\nJOIN \"__ranked\" AS r\n ON r.\"group_col\" = p.\"group_col\"\nGROUP BY\n p.\"group_col\",\n p.\"target_pos\",\n p.\"lower_pos\",\n p.\"upper_pos\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n SELECT\\n \\\"stroke\\\" AS \\\"group_col\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"measure_col\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> \\\"\\\"\\n),\\n\\\"__ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS \\\"target_pos\\\",\\n CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) AS \\\"lower_pos\\\",\\n CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) > CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_pos\\\"\\n FROM \\\"__ranked\\\"\\n GROUP BY \\\"group_col\\\"\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"stroke\\\",\\n CASE\\n WHEN p.\\\"lower_pos\\\" = p.\\\"upper_pos\\\" THEN\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_pos\\\" THEN r.\\\"measure_col\\\" END)\\n ELSE\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_pos\\\" THEN r.\\\"measure_col\\\" END) +\\n (p.\\\"target_pos\\\" - p.\\\"lower_pos\\\") * (\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_pos\\\" THEN r.\\\"measure_col\\\" END) -\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_pos\\\" THEN r.\\\"measure_col\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__params\\\" AS p\\nJOIN \\\"__ranked\\\" AS r\\n ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\nGROUP BY\\n p.\\\"group_col\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_pos\\\",\\n p.\\\"upper_pos\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"stroke\", \"percentile_measure\"], \"rows\": [{\"stroke\": \"0\", \"percentile_measure\": 43.0}, {\"stroke\": \"1\", \"percentile_measure\": 42.46}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 43.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c05ffbdd5ade2cdbc354bdb5667b1e9e437175d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:54:27.637141+00:00", + "ended_at": "2026-05-19T15:54:53.758440+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_18f0325df5c00bc7", + "problem_id": "v2p_m7_93ab2c67cc462947", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=stroke, measure_col=bmi.", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_18f0325df5c00bc7.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_18f0325df5c00bc7", + "api_calls": 0, + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 1795, + "total_tokens": 16109, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26071.4, + "sql_execution_elapsed_ms_total": 43.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e488b83efacac565a8b161b8d634a9fc228fe027 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:53.711884+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 26071.4, "started_at": "2026-05-19T15:54:27.638367+00:00", "ended_at": "2026-05-19T15:54:53.709804+00:00", "prompt_metrics": {"chars": 7825, "bytes_utf8": 7825, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1825, "bytes_utf8": 1825, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14314, "cached_input_tokens": 13696, "output_tokens": 1795, "reasoning_output_tokens": 1181}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n SELECT\\n \\\"stroke\\\" AS \\\"group_col\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"measure_col\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> \\\"\\\"\\n),\\n\\\"__ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure_col\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS \\\"target_pos\\\",\\n CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) AS \\\"lower_pos\\\",\\n CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) > CAST((1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_pos\\\"\\n FROM \\\"__ranked\\\"\\n GROUP BY \\\"group_col\\\"\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"stroke\\\",\\n CASE\\n WHEN p.\\\"lower_pos\\\" = p.\\\"upper"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b0b9da6d664074c0b46965efd1ce121cce72c634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_18f0325df5c00bc7", + "api_calls": 0, + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 1795, + "total_tokens": 16109, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26071.4, + "sql_execution_elapsed_ms_total": 43.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_18f0325df5c00bc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a44f5907ac05a3f7286608f73b00f6dfdfa916e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi. +Result preview: [{"bmi": "97.6"}, {"bmi": "92"}, {"bmi": "78"}, {"bmi": "71.9"}, {"bmi": "66.8"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..02021fc5e56b6bf451de40015d9f7ee2dc49b663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_1a705a0dad935c5c +-- problem_id: v2p_m7_6743cc4bef4dc4e6 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "bmi" IS NOT NULL + AND "bmi" <> '' +) +SELECT "bmi" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("bmi" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..879cdb8001416fa198d03b35e6c373f4dfd1d491 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"bmi\",\n NTILE(10) OVER (ORDER BY CAST(\"bmi\" AS REAL) DESC) AS tail_bucket\n FROM \"m7\"\n WHERE \"bmi\" IS NOT NULL\n AND \"bmi\" <> ''\n)\nSELECT \"bmi\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"bmi\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n AND \\\"bmi\\\" <> ''\\n)\\nSELECT \\\"bmi\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"bmi\\\" AS REAL) DESC;\", \"columns\": [\"bmi\"], \"rows\": [{\"bmi\": \"97.6\"}, {\"bmi\": \"92\"}, {\"bmi\": \"78\"}, {\"bmi\": \"71.9\"}, {\"bmi\": \"66.8\"}, {\"bmi\": \"64.8\"}, {\"bmi\": \"64.4\"}, {\"bmi\": \"63.3\"}, {\"bmi\": \"61.6\"}, {\"bmi\": \"61.2\"}, {\"bmi\": \"60.9\"}, {\"bmi\": \"60.9\"}, {\"bmi\": \"60.2\"}, {\"bmi\": \"59.7\"}, {\"bmi\": \"58.1\"}, {\"bmi\": \"57.9\"}, {\"bmi\": \"57.7\"}, {\"bmi\": \"57.5\"}, {\"bmi\": \"57.3\"}, {\"bmi\": \"57.2\"}, {\"bmi\": \"57.2\"}, {\"bmi\": \"56.6\"}, {\"bmi\": \"56.6\"}, {\"bmi\": \"56.1\"}, {\"bmi\": \"56\"}, {\"bmi\": \"55.9\"}, {\"bmi\": \"55.9\"}, {\"bmi\": \"55.7\"}, {\"bmi\": \"55.7\"}, {\"bmi\": \"55.7\"}, {\"bmi\": \"55.7\"}, {\"bmi\": \"55.2\"}, {\"bmi\": \"55.1\"}, {\"bmi\": \"55\"}, {\"bmi\": \"55\"}, {\"bmi\": \"54.8\"}, {\"bmi\": \"54.7\"}, {\"bmi\": \"54.7\"}, {\"bmi\": \"54.7\"}, {\"bmi\": \"54.6\"}, {\"bmi\": \"54.6\"}, {\"bmi\": \"54.3\"}, {\"bmi\": \"54.2\"}, {\"bmi\": \"54.1\"}, {\"bmi\": \"54\"}, {\"bmi\": \"53.9\"}, {\"bmi\": \"53.8\"}, {\"bmi\": \"53.8\"}, {\"bmi\": \"53.5\"}, {\"bmi\": \"53.4\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 17.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d67230404db370c49d61ae5f50aadda87e5fb04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:44:15.874912+00:00", + "ended_at": "2026-05-19T15:44:28.989266+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_1a705a0dad935c5c", + "problem_id": "v2p_m7_6743cc4bef4dc4e6", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "bindings": { + "measure_col": "bmi", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a705a0dad935c5c.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_1a705a0dad935c5c", + "api_calls": 0, + "input_tokens": 14331, + "cached_input_tokens": 13696, + "output_tokens": 587, + "total_tokens": 14918, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13089.73, + "sql_execution_elapsed_ms_total": 17.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c340b9e426b97950109bcbfa91d7eae3d9b90569 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:28.968319+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13089.73, "started_at": "2026-05-19T15:44:15.877005+00:00", "ended_at": "2026-05-19T15:44:28.966775+00:00", "prompt_metrics": {"chars": 7818, "bytes_utf8": 7818, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 563, "bytes_utf8": 563, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14331, "cached_input_tokens": 13696, "output_tokens": 587, "reasoning_output_tokens": 421}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n AND \\\"bmi\\\" <> ''\\n)\\nSELECT \\\"bmi\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"bmi\\\" AS REAL) DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template on \\\"bmi\\\". Cast \\\"bmi\\\" to REAL for correct numeric ordering because the column is stored as TEXT, and excluded blank values to avoid treating missing BMI as 0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eab819c324287c11689b6be8c8bf27b3186607c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_1a705a0dad935c5c", + "api_calls": 0, + "input_tokens": 14331, + "cached_input_tokens": 13696, + "output_tokens": 587, + "total_tokens": 14918, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13089.73, + "sql_execution_elapsed_ms_total": 17.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1a705a0dad935c5c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..01f0de59c442e0891b1923240ad1d9ff948da7ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "never smoked", "group_value": 203499.91}, {"smoking_status": "Unknown", "group_value": 153784.78}, {"smoking_status": "formerly smoked", "group_value": 99904.18}, {"smoking_status": "smokes", "group_value": 85225.76}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..65f0a8a39a7b3f35a2163fad132a63923be58a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_1bd374084b878674 +-- problem_id: v2p_m7_c9c09bdf7cad478c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoking_status", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "smoking_status" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoking_status", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..210157051d3c7cd14f90da1f6204886946eb0860 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"smoking_status\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"smoking_status\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"smoking_status\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"smoking_status\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoking_status\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"smoking_status\", \"group_value\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"group_value\": 203499.91}, {\"smoking_status\": \"Unknown\", \"group_value\": 153784.78}, {\"smoking_status\": \"formerly smoked\", \"group_value\": 99904.18}, {\"smoking_status\": \"smokes\", \"group_value\": 85225.76}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c6e9d0ba89d51772099cec7b0444a1f19f65eecd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:48:48.938402+00:00", + "ended_at": "2026-05-19T15:48:58.917540+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_1bd374084b878674", + "problem_id": "v2p_m7_c9c09bdf7cad478c", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1bd374084b878674.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_1bd374084b878674", + "api_calls": 0, + "input_tokens": 14421, + "cached_input_tokens": 13696, + "output_tokens": 416, + "total_tokens": 14837, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9972.78, + "sql_execution_elapsed_ms_total": 3.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dfcf45b547fe61d80fe7ad0424c790a92db31f57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:58.912936+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9972.78, "started_at": "2026-05-19T15:48:48.939359+00:00", "ended_at": "2026-05-19T15:48:58.912163+00:00", "prompt_metrics": {"chars": 8244, "bytes_utf8": 8244, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 685, "bytes_utf8": 685, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14421, "cached_input_tokens": 13696, "output_tokens": 416, "reasoning_output_tokens": 236}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"smoking_status\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoking_status\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided template with group_col=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". Cast \\\"avg_glucose_level\\\" from TEXT to REAL and treated empty strings as NULL for SQLite-safe aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d002836c0c4d0091db507b03b35f99d5caab5fb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_1bd374084b878674", + "api_calls": 0, + "input_tokens": 14421, + "cached_input_tokens": 13696, + "output_tokens": 416, + "total_tokens": 14837, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9972.78, + "sql_execution_elapsed_ms_total": 3.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_1bd374084b878674/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea510f903698c13e0382aa1ba491655885f05ed8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ever_married. +Result preview: [{"ever_married": "No", "support": 1757}, {"ever_married": "Yes", "support": 3353}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf8e865ae1be639d3f1e4f914bf94b2c61574be5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m7_218028c7ba80c178 +-- problem_id: v2p_m7_a1def222031cc286 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ever_married", + COUNT(*) AS "support" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "support" ASC, "ever_married" +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38eb5635c800990fd7b2e2afd2cd39c0a3192f89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"ever_married\",\n COUNT(*) AS \"support\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"support\" ASC, \"ever_married\"\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"ever_married\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"support\\\" ASC, \\\"ever_married\\\"\\nLIMIT 13;\", \"columns\": [\"ever_married\", \"support\"], \"rows\": [{\"ever_married\": \"No\", \"support\": 1757}, {\"ever_married\": \"Yes\", \"support\": 3353}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4128043ad1bcaaf6fccf96aa32ba48ab955a58ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:05:19.144500+00:00", + "ended_at": "2026-05-19T16:05:30.949025+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_218028c7ba80c178", + "problem_id": "v2p_m7_a1def222031cc286", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ever_married.", + "bindings": { + "group_col": "ever_married", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_218028c7ba80c178.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_218028c7ba80c178", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 12288, + "output_tokens": 327, + "total_tokens": 14616, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10795.11, + "sql_execution_elapsed_ms_total": 1.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..76cbe6f23d6432e95cb0b2303e41ef0f1478b8f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:21.881647+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2733.44, "started_at": "2026-05-19T16:05:19.147031+00:00", "ended_at": "2026-05-19T16:05:21.880512+00:00", "prompt_metrics": {"chars": 7655, "bytes_utf8": 7655, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-07a5-73f2-bbfa-c7f1bda8852c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:30.945461+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8061.67, "started_at": "2026-05-19T16:05:22.882976+00:00", "ended_at": "2026-05-19T16:05:30.944705+00:00", "prompt_metrics": {"chars": 7655, "bytes_utf8": 7655, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 333, "bytes_utf8": 333, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14289, "cached_input_tokens": 12288, "output_tokens": 327, "reasoning_output_tokens": 227}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"ever_married\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"support\\\" ASC, \\\"ever_married\\\"\\nLIMIT 13;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"ever_married\\\" and top_k set to 13.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ada5c7fb6613028f03436b58777074c8f3908145 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_218028c7ba80c178", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 12288, + "output_tokens": 327, + "total_tokens": 14616, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10795.11, + "sql_execution_elapsed_ms_total": 1.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_218028c7ba80c178/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8900911bdac98c56b5f1441c74ebf81c9c9b60b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:18.089468+00:00", + "ended_at": "2026-05-19T16:06:25.382900+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_255668ec51365b4c", + "problem_id": "v2p_m7_6ee7fee8488dbe9a", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=smoking_status.", + "bindings": { + "group_col": "smoking_status", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78b4b8a0b49843019d2ddd770dc48a53579efb9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_255668ec51365b4c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:21.257786+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3166.46, "started_at": "2026-05-19T16:06:18.090565+00:00", "ended_at": "2026-05-19T16:06:21.257055+00:00", "prompt_metrics": {"chars": 7663, "bytes_utf8": 7663, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-edff-7f73-8ddf-1750444770bb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:25.382814+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3123.28, "started_at": "2026-05-19T16:06:22.258734+00:00", "ended_at": "2026-05-19T16:06:25.382054+00:00", "prompt_metrics": {"chars": 7663, "bytes_utf8": 7663, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-fe3e-7711-9386-eebfa415b6a7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..da5ced323f69764af7eee6e6c77a9f99d321c6a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, condition_col=Residence_type. +Result preview: [{"Residence_type": "Urban", "condition_rate": 1.0}, {"Residence_type": "Rural", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9cf8c50ed05dd7ad29ac1b7897d0b4970e78ff42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_272c2f7871f2c610 +-- problem_id: v2p_m7_414281c99f27a330 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", + AVG(CASE WHEN "Residence_type" = 'Urban' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "Residence_type" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..79bf0ca91ac6bc242becca32a4e91b0015a78a7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"Residence_type\",\n AVG(CASE WHEN \"Residence_type\" = 'Urban' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Residence_type\\\",\\n AVG(CASE WHEN \\\"Residence_type\\\" = 'Urban' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Residence_type\", \"condition_rate\"], \"rows\": [{\"Residence_type\": \"Urban\", \"condition_rate\": 1.0}, {\"Residence_type\": \"Rural\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..771bac95fc017980a7964c13b964d6a4ae5fdaac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:00:44.872575+00:00", + "ended_at": "2026-05-19T16:00:52.615051+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_272c2f7871f2c610", + "problem_id": "v2p_m7_414281c99f27a330", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, condition_col=Residence_type.", + "bindings": { + "group_col": "Residence_type", + "condition_col": "Residence_type", + "condition_value": "Urban", + "positive_value": "Urban", + "negative_value": "Rural", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_272c2f7871f2c610.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_272c2f7871f2c610", + "api_calls": 0, + "input_tokens": 14341, + "cached_input_tokens": 12032, + "output_tokens": 220, + "total_tokens": 14561, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7736.28, + "sql_execution_elapsed_ms_total": 2.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..266f46012450f9368db05190d1fa60fdbe53834a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:52.611707+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7736.28, "started_at": "2026-05-19T16:00:44.874601+00:00", "ended_at": "2026-05-19T16:00:52.610918+00:00", "prompt_metrics": {"chars": 7930, "bytes_utf8": 7930, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 424, "bytes_utf8": 424, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14341, "cached_input_tokens": 12032, "output_tokens": 220, "reasoning_output_tokens": 114}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Residence_type\\\",\\n AVG(CASE WHEN \\\"Residence_type\\\" = 'Urban' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template exactly as bound: grouped by Residence_type and measured the rate of Residence_type = 'Urban' within each Residence_type group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a6359b7bfd6dc5e7ed63adfb37e11e86d6ee3e8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_272c2f7871f2c610", + "api_calls": 0, + "input_tokens": 14341, + "cached_input_tokens": 12032, + "output_tokens": 220, + "total_tokens": 14561, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7736.28, + "sql_execution_elapsed_ms_total": 2.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_272c2f7871f2c610/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4f9d98e9eb3fea3d26d0d5edd12a0aa45e6010c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "1", "bmi": "31", "total_measure": 840.82, "share_within_group": 2.5558361531568443}, {"heart_disease": "1", "bmi": "32.2", "total_measure": 758.87, "share_within_group": 2.306733167082294}, {"heart_disease": "1", "bmi": "32.5", "total_measure": 624.25, "share_within_group": 1.8975294576819774}, {"heart_disease": "1", "bmi": "34.5", "total_measure": 576.78, "share_within_group": 1.7532351471394647}, {"heart_disease": "1", "bmi": "28", "total_measure": 546.17, "share_within_group": 1.660190090351887}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2b0c8a8c39a468fb28cab0a56befafd0344cb573 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_285819540085b992 +-- problem_id: v2p_m7_d5cd8fef97ef6913 +-- realization_mode: agent +-- source_kind: agent +SELECT + "heart_disease", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 / + SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..daad8223686349e54ace53b519d7b65f2642b72b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"heart_disease\",\n \"bmi\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) * 100.0 /\n SUM(SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL))) OVER (PARTITION BY \"heart_disease\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"heart_disease\", \"bmi\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"heart_disease\\\",\\n \\\"bmi\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"heart_disease\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"heart_disease\": \"1\", \"bmi\": \"31\", \"total_measure\": 840.82, \"share_within_group\": 2.5558361531568443}, {\"heart_disease\": \"1\", \"bmi\": \"32.2\", \"total_measure\": 758.87, \"share_within_group\": 2.306733167082294}, {\"heart_disease\": \"1\", \"bmi\": \"32.5\", \"total_measure\": 624.25, \"share_within_group\": 1.8975294576819774}, {\"heart_disease\": \"1\", \"bmi\": \"34.5\", \"total_measure\": 576.78, \"share_within_group\": 1.7532351471394647}, {\"heart_disease\": \"1\", \"bmi\": \"28\", \"total_measure\": 546.17, \"share_within_group\": 1.660190090351887}, {\"heart_disease\": \"1\", \"bmi\": \"24.1\", \"total_measure\": 498.23, \"share_within_group\": 1.5144671232693498}, {\"heart_disease\": \"1\", \"bmi\": \"22\", \"total_measure\": 476.11, \"share_within_group\": 1.4472290750452002}, {\"heart_disease\": \"1\", \"bmi\": \"31.1\", \"total_measure\": 473.12, \"share_within_group\": 1.438140387694829}, {\"heart_disease\": \"1\", \"bmi\": \"28.1\", \"total_measure\": 466.49, \"share_within_group\": 1.4179872113961804}, {\"heart_disease\": \"1\", \"bmi\": \"30.5\", \"total_measure\": 460.36, \"share_within_group\": 1.3993538824805367}, {\"heart_disease\": \"1\", \"bmi\": \"26.1\", \"total_measure\": 456.86, \"share_within_group\": 1.3887149507995005}, {\"heart_disease\": \"1\", \"bmi\": \"30.7\", \"total_measure\": 454.93, \"share_within_group\": 1.3828483399011005}, {\"heart_disease\": \"1\", \"bmi\": \"27.9\", \"total_measure\": 444.86, \"share_within_group\": 1.352238613607376}, {\"heart_disease\": \"1\", \"bmi\": \"29.8\", \"total_measure\": 443.88, \"share_within_group\": 1.3492597127366859}, {\"heart_disease\": \"1\", \"bmi\": \"25.5\", \"total_measure\": 438.8, \"share_within_group\": 1.3338180633253531}, {\"heart_disease\": \"1\", \"bmi\": \"26.5\", \"total_measure\": 423.01, \"share_within_group\": 1.2858212829700493}, {\"heart_disease\": \"1\", \"bmi\": \"31.5\", \"total_measure\": 422.1, \"share_within_group\": 1.2830551607329799}, {\"heart_disease\": \"1\", \"bmi\": \"30\", \"total_measure\": 420.91999999999996, \"share_within_group\": 1.2794683209090874}, {\"heart_disease\": \"1\", \"bmi\": \"34.2\", \"total_measure\": 414.4, \"share_within_group\": 1.2596495110347}, {\"heart_disease\": \"1\", \"bmi\": \"36.8\", \"total_measure\": 412.87, \"share_within_group\": 1.254998778042704}, {\"heart_disease\": \"1\", \"bmi\": \"24.9\", \"total_measure\": 411.85, \"share_within_group\": 1.2518982893813735}, {\"heart_disease\": \"1\", \"bmi\": \"41.9\", \"total_measure\": 409.06, \"share_within_group\": 1.2434175409842045}, {\"heart_disease\": \"1\", \"bmi\": \"28.7\", \"total_measure\": 406.90999999999997, \"share_within_group\": 1.236882197237282}, {\"heart_disease\": \"1\", \"bmi\": \"31.9\", \"total_measure\": 405.53, \"share_within_group\": 1.232687418460188}, {\"heart_disease\": \"1\", \"bmi\": \"39\", \"total_measure\": 385.91999999999996, \"share_within_group\": 1.1730790040987242}, {\"heart_disease\": \"1\", \"bmi\": \"28.2\", \"total_measure\": 378.17, \"share_within_group\": 1.149521369662144}, {\"heart_disease\": \"1\", \"bmi\": \"27.3\", \"total_measure\": 374.57, \"share_within_group\": 1.1385784685045066}, {\"heart_disease\": \"1\", \"bmi\": \"29.4\", \"total_measure\": 356.71, \"share_within_group\": 1.0842895199835614}, {\"heart_disease\": \"1\", \"bmi\": \"29.2\", \"total_measure\": 344.81, \"share_within_group\": 1.048117152268038}, {\"heart_disease\": \"1\", \"bmi\": \"26.4\", \"total_measure\": 338.70000000000005, \"share_within_group\": 1.0295446172477147}, {\"heart_disease\": \"1\", \"bmi\": \"25\", \"total_measure\": 328.15, \"share_within_group\": 0.997475837466305}, {\"heart_disease\": \"1\", \"bmi\": \"21.7\", \"total_measure\": 321.32, \"share_within_group\": 0.9767147222144541}, {\"heart_disease\": \"1\", \"bmi\": \"28.3\", \"total_measure\": 319.6, \"share_within_group\": 0.9714864472169163}, {\"heart_disease\": \"1\", \"bmi\": \"27.7\", \"total_measure\": 313.41, \"share_within_group\": 0.9526707366153121}, {\"heart_disease\": \"1\", \"bmi\": \"28.6\", \"total_measure\": 309.84, \"share_within_group\": 0.9418190263006548}, {\"heart_disease\": \"1\", \"bmi\": \"33\", \"total_measure\": 307.82, \"share_within_group\": 0.935678842873314}, {\"heart_disease\": \"1\", \"bmi\": \"30.9\", \"total_measure\": 303.94, \"share_within_group\": 0.9238848271811938}, {\"heart_disease\": \"1\", \"bmi\": \"29.7\", \"total_measure\": 295.53, \"share_within_group\": 0.8983209941990463}, {\"heart_disease\": \"1\", \"bmi\": \"29.6\", \"total_measure\": 294.33, \"share_within_group\": 0.894673360479834}, {\"heart_disease\": \"1\", \"bmi\": \"24.2\", \"total_measure\": 289.77, \"share_within_group\": 0.8808123523468268}, {\"heart_disease\": \"1\", \"bmi\": \"30.4\", \"total_measure\": 287.88, \"share_within_group\": 0.8750673292390672}, {\"heart_disease\": \"1\", \"bmi\": \"30.8\", \"total_measure\": 284.75, \"share_within_group\": 0.8655530846214546}, {\"heart_disease\": \"1\", \"bmi\": \"32.9\", \"total_measure\": 267.95, \"share_within_group\": 0.8144862125524803}, {\"heart_disease\": \"1\", \"bmi\": \"35.2\", \"total_measure\": 266.18, \"share_within_group\": 0.809105952816642}, {\"heart_disease\": \"0\", \"bmi\": \"28.7\", \"total_measure\": 3788.4, \"share_within_group\": 0.7826546022772183}, {\"heart_disease\": \"0\", \"bmi\": \"28.4\", \"total_measure\": 3741.78, \"share_within_group\": 0.7730232651538512}, {\"heart_disease\": \"0\", \"bmi\": \"26.1\", \"total_measure\": 3737.0099999999998, \"share_within_group\": 0.7720378194636225}, {\"heart_disease\": \"0\", \"bmi\": \"27\", \"total_measure\": 3669.4300000000003, \"share_within_group\": 0.7580763058901101}, {\"heart_disease\": \"0\", \"bmi\": \"26.7\", \"total_measure\": 3669.18, \"share_within_group\": 0.758024657793138}, {\"heart_disease\": \"1\", \"bmi\": \"40.5\", \"total_measure\": 247.51, \"share_within_group\": 0.7523548515352282}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..113ee7cacd557b09fb546227ed090c9abb97a7ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:35:00.608235+00:00", + "ended_at": "2026-05-19T15:35:14.007745+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_285819540085b992", + "problem_id": "v2p_m7_d5cd8fef97ef6913", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_285819540085b992.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_285819540085b992", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 726, + "total_tokens": 15130, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13385.77, + "sql_execution_elapsed_ms_total": 9.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19d8fa50277d98b469208b82c4469eb9d198477f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:13.996829+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13385.77, "started_at": "2026-05-19T15:35:00.610067+00:00", "ended_at": "2026-05-19T15:35:13.995875+00:00", "prompt_metrics": {"chars": 8093, "bytes_utf8": 8093, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 762, "bytes_utf8": 762, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 12032, "output_tokens": 726, "reasoning_output_tokens": 508}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"heart_disease\\\",\\n \\\"bmi\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"heart_disease\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Casts the text measure to REAL and excludes blank measure/item values for SQLite-safe aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5cf6e92bafde55904f99fc073f82c0eb2917a990 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_285819540085b992", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 726, + "total_tokens": 15130, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13385.77, + "sql_execution_elapsed_ms_total": 9.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_285819540085b992/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..915ac83940ccfb6aba238b306eb3037ebd427d66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=smoking_status. +Result preview: [{"smoking_status": "never smoked", "row_count": 1892}, {"smoking_status": "Unknown", "row_count": 1544}, {"smoking_status": "formerly smoked", "row_count": 885}, {"smoking_status": "smokes", "row_count": 789}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6d6600f1085e5a39e931c6fc699484864aeb97b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_28b6db76e266e755 +-- problem_id: v2p_m7_ed85b78b6c960f9a +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "smoking_status" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0a02a11b17545ee16fbec021ff3c64ff098571b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"smoking_status\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"smoking_status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"smoking_status\", \"row_count\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"row_count\": 1892}, {\"smoking_status\": \"Unknown\", \"row_count\": 1544}, {\"smoking_status\": \"formerly smoked\", \"row_count\": 885}, {\"smoking_status\": \"smokes\", \"row_count\": 789}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9d2d04f24b732344034489a02cbb820a0174d536 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:32:17.486889+00:00", + "ended_at": "2026-05-19T15:32:42.039776+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_28b6db76e266e755", + "problem_id": "v2p_m7_ed85b78b6c960f9a", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=smoking_status.", + "bindings": { + "group_col": "smoking_status", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=14" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_28b6db76e266e755.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_28b6db76e266e755", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 292, + "total_tokens": 14546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24545.9, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95323fcb39f73c9339f499e7e77bca40c0be4f0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:42.035435+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 24545.9, "started_at": "2026-05-19T15:32:17.488190+00:00", "ended_at": "2026-05-19T15:32:42.034125+00:00", "prompt_metrics": {"chars": 7582, "bytes_utf8": 7582, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 292, "bytes_utf8": 292, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14254, "cached_input_tokens": 12032, "output_tokens": 292, "reasoning_output_tokens": 214}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"smoking_status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution by \\\"smoking_status\\\" using the provided Grouped Count by Category template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..da99281d27f34657a7afac6c314669d1e0eb8742 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_28b6db76e266e755", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 292, + "total_tokens": 14546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24545.9, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_28b6db76e266e755/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..81743a288566690d071e12d3a5ed2ca88a78aa78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Never_worked", "avg_measure": 38274.40909090909}, {"work_type": "Private", "avg_measure": 36951.22700854701}, {"work_type": "Govt_job", "avg_measure": 36516.93607305936}, {"work_type": "children", "avg_measure": 35769.43231441048}, {"work_type": "Self-employed", "avg_measure": 35551.28815628816}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..670c08b0d868d7015dc13d9d404c1e20fe030d7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_2d787e84f261b4a6 +-- problem_id: v2p_m7_aca1e9939ab10e50 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "work_type", + AVG(CAST("id" AS REAL)) OVER (PARTITION BY "work_type") AS "avg_measure" +FROM "m7" +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3f92f2278823d31c3a16deca53ae0c38911dc5ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"work_type\",\n AVG(CAST(\"id\" AS REAL)) OVER (PARTITION BY \"work_type\") AS \"avg_measure\"\nFROM \"m7\"\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"work_type\\\",\\n AVG(CAST(\\\"id\\\" AS REAL)) OVER (PARTITION BY \\\"work_type\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m7\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"work_type\", \"avg_measure\"], \"rows\": [{\"work_type\": \"Never_worked\", \"avg_measure\": 38274.40909090909}, {\"work_type\": \"Private\", \"avg_measure\": 36951.22700854701}, {\"work_type\": \"Govt_job\", \"avg_measure\": 36516.93607305936}, {\"work_type\": \"children\", \"avg_measure\": 35769.43231441048}, {\"work_type\": \"Self-employed\", \"avg_measure\": 35551.28815628816}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.7}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c04a2e23f1179951175c6ce9fe058682a7e4ae38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:40.286211+00:00", + "ended_at": "2026-05-19T16:06:50.898642+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_2d787e84f261b4a6", + "problem_id": "v2p_m7_aca1e9939ab10e50", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id.", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d787e84f261b4a6.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2d787e84f261b4a6", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 13696, + "output_tokens": 435, + "total_tokens": 14724, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10588.76, + "sql_execution_elapsed_ms_total": 18.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c823cb12d39f37dbe42247d0c39373e44a2d8f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:06:50.877606+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10588.76, "started_at": "2026-05-19T16:06:40.287548+00:00", "ended_at": "2026-05-19T16:06:50.876338+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14289, "cached_input_tokens": 13696, "output_tokens": 435, "reasoning_output_tokens": 316}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"work_type\\\",\\n AVG(CAST(\\\"id\\\" AS REAL)) OVER (PARTITION BY \\\"work_type\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m7\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"work_type\\\" and measure_col=\\\"id\\\". CAST was added because \\\"id\\\" is stored as TEXT in the schema, and SQLite AVG works correctly on numeric values after coercion.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..022a385bb6187694ec749d20caa0c2784cacdd74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2d787e84f261b4a6", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 13696, + "output_tokens": 435, + "total_tokens": 14724, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10588.76, + "sql_execution_elapsed_ms_total": 18.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d787e84f261b4a6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee5da75960729b57006176ea6ef31481a1dafa6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Other", "age": "26", "total_measure": 56156.0, "share_within_group": 100.0}, {"gender": "Female", "age": "78", "total_measure": 2376968.0, "share_within_group": 2.1763085038765317}, {"gender": "Female", "age": "45", "total_measure": 2282593.0, "share_within_group": 2.089900476905471}, {"gender": "Male", "age": "53", "total_measure": 1602110.0, "share_within_group": 2.0717892946151726}, {"gender": "Male", "age": "57", "total_measure": 1595453.0, "share_within_group": 2.063180708853737}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e9102a81d9b51e9057f0038abdbac207bf0ce0b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_2d980b1a752e3abe +-- problem_id: v2p_m7_a2c16e58ad148d92 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "age", + SUM(CAST("id" AS REAL)) AS total_measure, + SUM(CAST("id" AS REAL)) * 100.0 / SUM(SUM(CAST("id" AS REAL))) OVER (PARTITION BY "gender") AS share_within_group +FROM "m7" +GROUP BY "gender", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..314cd032591622f1f533c4e9f2e69107cf451bb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"gender\", \"age\",\n SUM(CAST(\"id\" AS REAL)) AS total_measure,\n SUM(CAST(\"id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"id\" AS REAL))) OVER (PARTITION BY \"gender\") AS share_within_group\nFROM \"m7\"\nGROUP BY \"gender\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"gender\\\", \\\"age\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"gender\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gender\": \"Other\", \"age\": \"26\", \"total_measure\": 56156.0, \"share_within_group\": 100.0}, {\"gender\": \"Female\", \"age\": \"78\", \"total_measure\": 2376968.0, \"share_within_group\": 2.1763085038765317}, {\"gender\": \"Female\", \"age\": \"45\", \"total_measure\": 2282593.0, \"share_within_group\": 2.089900476905471}, {\"gender\": \"Male\", \"age\": \"53\", \"total_measure\": 1602110.0, \"share_within_group\": 2.0717892946151726}, {\"gender\": \"Male\", \"age\": \"57\", \"total_measure\": 1595453.0, \"share_within_group\": 2.063180708853737}, {\"gender\": \"Male\", \"age\": \"54\", \"total_measure\": 1521130.0, \"share_within_group\": 1.9670689588842072}, {\"gender\": \"Male\", \"age\": \"61\", \"total_measure\": 1514976.0, \"share_within_group\": 1.9591108340868701}, {\"gender\": \"Female\", \"age\": \"79\", \"total_measure\": 2081640.0, \"share_within_group\": 1.9059115789566978}, {\"gender\": \"Female\", \"age\": \"52\", \"total_measure\": 2042678.0, \"share_within_group\": 1.8702386830960729}, {\"gender\": \"Female\", \"age\": \"57\", \"total_measure\": 2023427.0, \"share_within_group\": 1.8526128189665907}, {\"gender\": \"Male\", \"age\": \"55\", \"total_measure\": 1414898.0, \"share_within_group\": 1.8296936723273798}, {\"gender\": \"Male\", \"age\": \"52\", \"total_measure\": 1398333.0, \"share_within_group\": 1.8082724280524545}, {\"gender\": \"Female\", \"age\": \"50\", \"total_measure\": 1935331.0, \"share_within_group\": 1.7719537297581929}, {\"gender\": \"Male\", \"age\": \"58\", \"total_measure\": 1368975.0, \"share_within_group\": 1.7703077501518658}, {\"gender\": \"Female\", \"age\": \"53\", \"total_measure\": 1916550.0, \"share_within_group\": 1.7547581890477983}, {\"gender\": \"Female\", \"age\": \"38\", \"total_measure\": 1914029.0, \"share_within_group\": 1.7524500074743516}, {\"gender\": \"Male\", \"age\": \"59\", \"total_measure\": 1354469.0, \"share_within_group\": 1.7515491283920068}, {\"gender\": \"Male\", \"age\": \"62\", \"total_measure\": 1345708.0, \"share_within_group\": 1.7402197277827332}, {\"gender\": \"Female\", \"age\": \"40\", \"total_measure\": 1892996.0, \"share_within_group\": 1.7331925766793073}, {\"gender\": \"Male\", \"age\": \"46\", \"total_measure\": 1307522.0, \"share_within_group\": 1.6908390073551876}, {\"gender\": \"Male\", \"age\": \"78\", \"total_measure\": 1289611.0, \"share_within_group\": 1.6676771657488982}, {\"gender\": \"Male\", \"age\": \"47\", \"total_measure\": 1287566.0, \"share_within_group\": 1.665032647515139}, {\"gender\": \"Female\", \"age\": \"31\", \"total_measure\": 1818075.0, \"share_within_group\": 1.664596276931505}, {\"gender\": \"Female\", \"age\": \"47\", \"total_measure\": 1800670.0, \"share_within_group\": 1.6486605766991203}, {\"gender\": \"Female\", \"age\": \"56\", \"total_measure\": 1785042.0, \"share_within_group\": 1.634351865223584}, {\"gender\": \"Male\", \"age\": \"5\", \"total_measure\": 1252317.0, \"share_within_group\": 1.6194499466731929}, {\"gender\": \"Male\", \"age\": \"63\", \"total_measure\": 1245395.0, \"share_within_group\": 1.6104986727298767}, {\"gender\": \"Female\", \"age\": \"49\", \"total_measure\": 1731542.0, \"share_within_group\": 1.5853682419870094}, {\"gender\": \"Male\", \"age\": \"80\", \"total_measure\": 1225365.0, \"share_within_group\": 1.5845966188314915}, {\"gender\": \"Female\", \"age\": \"51\", \"total_measure\": 1718665.0, \"share_within_group\": 1.57357829588575}, {\"gender\": \"Female\", \"age\": \"37\", \"total_measure\": 1693848.0, \"share_within_group\": 1.5508563037761787}, {\"gender\": \"Male\", \"age\": \"49\", \"total_measure\": 1197142.0, \"share_within_group\": 1.548099680879713}, {\"gender\": \"Female\", \"age\": \"26\", \"total_measure\": 1686892.0, \"share_within_group\": 1.5444875171736812}, {\"gender\": \"Female\", \"age\": \"48\", \"total_measure\": 1675743.0, \"share_within_group\": 1.534279696323876}, {\"gender\": \"Female\", \"age\": \"55\", \"total_measure\": 1667962.0, \"share_within_group\": 1.5271555547836184}, {\"gender\": \"Female\", \"age\": \"34\", \"total_measure\": 1661503.0, \"share_within_group\": 1.5212418123072626}, {\"gender\": \"Female\", \"age\": \"62\", \"total_measure\": 1659865.0, \"share_within_group\": 1.519742089412655}, {\"gender\": \"Female\", \"age\": \"23\", \"total_measure\": 1657139.0, \"share_within_group\": 1.5172462135819464}, {\"gender\": \"Male\", \"age\": \"39\", \"total_measure\": 1170963.0, \"share_within_group\": 1.514245967998743}, {\"gender\": \"Female\", \"age\": \"44\", \"total_measure\": 1653121.0, \"share_within_group\": 1.5135674061396183}, {\"gender\": \"Female\", \"age\": \"59\", \"total_measure\": 1649112.0, \"share_within_group\": 1.5098968389329748}, {\"gender\": \"Female\", \"age\": \"27\", \"total_measure\": 1608236.0, \"share_within_group\": 1.4724715196167464}, {\"gender\": \"Male\", \"age\": \"60\", \"total_measure\": 1137532.0, \"share_within_group\": 1.4710142374007942}, {\"gender\": \"Male\", \"age\": \"56\", \"total_measure\": 1134065.0, \"share_within_group\": 1.466530841451433}, {\"gender\": \"Male\", \"age\": \"2\", \"total_measure\": 1130543.0, \"share_within_group\": 1.461976321539795}, {\"gender\": \"Male\", \"age\": \"15\", \"total_measure\": 1115390.0, \"share_within_group\": 1.4423810233509666}, {\"gender\": \"Female\", \"age\": \"42\", \"total_measure\": 1566152.0, \"share_within_group\": 1.4339401775552882}, {\"gender\": \"Female\", \"age\": \"60\", \"total_measure\": 1553349.0, \"share_within_group\": 1.4222179845029916}, {\"gender\": \"Male\", \"age\": \"37\", \"total_measure\": 1097035.0, \"share_within_group\": 1.418645017394658}, {\"gender\": \"Female\", \"age\": \"80\", \"total_measure\": 1530240.0, \"share_within_group\": 1.4010598060100194}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0b1ef16cae7fe864b233c7b7c39b06406ec649c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:34:05.492866+00:00", + "ended_at": "2026-05-19T15:34:20.920812+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_2d980b1a752e3abe", + "problem_id": "v2p_m7_a2c16e58ad148d92", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "item_col": "age", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d980b1a752e3abe.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2d980b1a752e3abe", + "api_calls": 0, + "input_tokens": 14392, + "cached_input_tokens": 0, + "output_tokens": 578, + "total_tokens": 14970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15418.57, + "sql_execution_elapsed_ms_total": 5.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0829f61bc0975a9b809e93b4cf1df12778326361 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:20.913471+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15418.57, "started_at": "2026-05-19T15:34:05.493957+00:00", "ended_at": "2026-05-19T15:34:20.912561+00:00", "prompt_metrics": {"chars": 8048, "bytes_utf8": 8048, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 504, "bytes_utf8": 504, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14392, "cached_input_tokens": 0, "output_tokens": 578, "reasoning_output_tokens": 429}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"gender\\\", \\\"age\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"gender\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e5ea7b14c2702093808baef41149fb65f5d1d3e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_2d980b1a752e3abe", + "api_calls": 0, + "input_tokens": 14392, + "cached_input_tokens": 0, + "output_tokens": 578, + "total_tokens": 14970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15418.57, + "sql_execution_elapsed_ms_total": 5.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_2d980b1a752e3abe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2544e94cf1ae0bccacae4adf7acf8a641fd652f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "avg_measure": 43.542126348228045}, {"Residence_type": "Rural", "avg_measure": 42.900811455847254}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f6ce687faf5d79562833e5b6abf66160814b04f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_31a015ffb58fcdf8 +-- problem_id: v2p_m7_cfe5c31d24e23923 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "Residence_type", + AVG(CAST(NULLIF("age", '') AS REAL)) OVER (PARTITION BY "Residence_type") AS avg_measure +FROM "m7" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d89c33fc282912c895ce7fb86bc3bc5b093d6441 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Residence_type\",\n AVG(CAST(NULLIF(\"age\", '') AS REAL)) OVER (PARTITION BY \"Residence_type\") AS avg_measure\nFROM \"m7\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Residence_type\\\",\\n AVG(CAST(NULLIF(\\\"age\\\", '') AS REAL)) OVER (PARTITION BY \\\"Residence_type\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"Residence_type\", \"avg_measure\"], \"rows\": [{\"Residence_type\": \"Urban\", \"avg_measure\": 43.542126348228045}, {\"Residence_type\": \"Rural\", \"avg_measure\": 42.900811455847254}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab83ca4f0c2b4c6358e754d124334dd826149e87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:58.259145+00:00", + "ended_at": "2026-05-19T16:07:12.859172+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_31a015ffb58fcdf8", + "problem_id": "v2p_m7_cfe5c31d24e23923", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31a015ffb58fcdf8.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_31a015ffb58fcdf8", + "api_calls": 0, + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 445, + "total_tokens": 14732, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13584.21, + "sql_execution_elapsed_ms_total": 10.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d850572e93d0bb8e60a91210229aa592cd99f79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:01.571693+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3310.44, "started_at": "2026-05-19T16:06:58.260444+00:00", "ended_at": "2026-05-19T16:07:01.570915+00:00", "prompt_metrics": {"chars": 7741, "bytes_utf8": 7741, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-8ac7-7540-9d9b-1f502ef25cf8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:12.847014+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10273.77, "started_at": "2026-05-19T16:07:02.572515+00:00", "ended_at": "2026-05-19T16:07:12.846315+00:00", "prompt_metrics": {"chars": 7741, "bytes_utf8": 7741, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 417, "bytes_utf8": 417, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14287, "cached_input_tokens": 12032, "output_tokens": 445, "reasoning_output_tokens": 341}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Residence_type\\\",\\n AVG(CAST(NULLIF(\\\"age\\\", '') AS REAL)) OVER (PARTITION BY \\\"Residence_type\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the Window Partition Average template with group_col=\\\"Residence_type\\\" and measure_col=\\\"age\\\"; cast \\\"age\\\" from TEXT to REAL so SQLite computes the average correctly.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0aefcb0348e70833ec344c4d8e12a55acfadb8a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_31a015ffb58fcdf8", + "api_calls": 0, + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 445, + "total_tokens": 14732, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13584.21, + "sql_execution_elapsed_ms_total": 10.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31a015ffb58fcdf8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a6ebc0fe995c7651333509587324c5ae4eadf1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "1", "percentile_measure": 39.2}, {"stroke": "0", "percentile_measure": 38.9}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..429fd1b7a46da9d7e5b485ecfa39a31e7e893a6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_31eb991ded93c83a +-- problem_id: v2p_m7_58f8890a090d8e2d +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "stroke", + CAST(NULLIF("bmi", '') AS REAL) AS "bmi_value", + CUME_DIST() OVER ( + PARTITION BY "stroke" + ORDER BY CAST(NULLIF("bmi", '') AS REAL) + ) AS "cume_dist_value" + FROM "m7" + WHERE NULLIF("bmi", '') IS NOT NULL +) +SELECT + "stroke", + MIN("bmi_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist_value" >= 0.9 +GROUP BY "stroke" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e56a00536d8afafbdd797d68a20efb09de9d0c4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"stroke\",\n CAST(NULLIF(\"bmi\", '') AS REAL) AS \"bmi_value\",\n CUME_DIST() OVER (\n PARTITION BY \"stroke\"\n ORDER BY CAST(NULLIF(\"bmi\", '') AS REAL)\n ) AS \"cume_dist_value\"\n FROM \"m7\"\n WHERE NULLIF(\"bmi\", '') IS NOT NULL\n)\nSELECT\n \"stroke\",\n MIN(\"bmi_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist_value\" >= 0.9\nGROUP BY \"stroke\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"stroke\\\",\\n CAST(NULLIF(\\\"bmi\\\", '') AS REAL) AS \\\"bmi_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"stroke\\\"\\n ORDER BY CAST(NULLIF(\\\"bmi\\\", '') AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"stroke\\\",\\n MIN(\\\"bmi_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.9\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"stroke\", \"percentile_measure\"], \"rows\": [{\"stroke\": \"1\", \"percentile_measure\": 39.2}, {\"stroke\": \"0\", \"percentile_measure\": 38.9}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d7b550b8802cd9fad8cd2e0a6742f3aeb3172630 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:54:12.573970+00:00", + "ended_at": "2026-05-19T15:54:27.636513+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_31eb991ded93c83a", + "problem_id": "v2p_m7_58f8890a090d8e2d", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=stroke, measure_col=bmi.", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31eb991ded93c83a.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_31eb991ded93c83a", + "api_calls": 0, + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 746, + "total_tokens": 15060, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15048.65, + "sql_execution_elapsed_ms_total": 10.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..31fccc3380519df051d191e1046a0228c053f55e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:27.624677+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15048.65, "started_at": "2026-05-19T15:54:12.575109+00:00", "ended_at": "2026-05-19T15:54:27.623782+00:00", "prompt_metrics": {"chars": 7821, "bytes_utf8": 7821, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 792, "bytes_utf8": 792, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14314, "cached_input_tokens": 13696, "output_tokens": 746, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"stroke\\\",\\n CAST(NULLIF(\\\"bmi\\\", '') AS REAL) AS \\\"bmi_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"stroke\\\"\\n ORDER BY CAST(NULLIF(\\\"bmi\\\", '') AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"stroke\\\",\\n MIN(\\\"bmi_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.9\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to emulate the 90th percentile per stroke group and returns the smallest bmi value at or above the 0.9 cumulative threshold. Empty bmi strings are excluded before casting to REAL.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7b7df002b3348f8917f1bba9ef99904dcbbbf87a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_31eb991ded93c83a", + "api_calls": 0, + "input_tokens": 14314, + "cached_input_tokens": 13696, + "output_tokens": 746, + "total_tokens": 15060, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15048.65, + "sql_execution_elapsed_ms_total": 10.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_31eb991ded93c83a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebcbe314d48afc057e158cb03fe2d3b72ba5f9ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=work_type, condition_col=work_type. +Result preview: [{"work_type": "Self-employed", "condition_rate": 1.0}, {"work_type": "children", "condition_rate": 0.0}, {"work_type": "Private", "condition_rate": 0.0}, {"work_type": "Never_worked", "condition_rate": 0.0}, {"work_type": "Govt_job", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5a07c7346700c0d798eec2b7c753c534d3011a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_34501c6a006766e5 +-- problem_id: v2p_m7_4918f74f919f6e95 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", + AVG(CASE WHEN "work_type" = 'Self-employed' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "work_type" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac1cbd0bf77556c0e5082bc9fc061718e9b33375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"work_type\",\n AVG(CASE WHEN \"work_type\" = 'Self-employed' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"work_type\\\",\\n AVG(CASE WHEN \\\"work_type\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"work_type\", \"condition_rate\"], \"rows\": [{\"work_type\": \"Self-employed\", \"condition_rate\": 1.0}, {\"work_type\": \"children\", \"condition_rate\": 0.0}, {\"work_type\": \"Private\", \"condition_rate\": 0.0}, {\"work_type\": \"Never_worked\", \"condition_rate\": 0.0}, {\"work_type\": \"Govt_job\", \"condition_rate\": 0.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..df0948474b1ab3e719c6094907074986505ba4a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:00:36.614446+00:00", + "ended_at": "2026-05-19T16:00:44.871323+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_34501c6a006766e5", + "problem_id": "v2p_m7_4918f74f919f6e95", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=work_type, condition_col=work_type.", + "bindings": { + "group_col": "work_type", + "condition_col": "work_type", + "condition_value": "Self-employed", + "positive_value": "Private", + "negative_value": "Self-employed", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_34501c6a006766e5.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_34501c6a006766e5", + "api_calls": 0, + "input_tokens": 14343, + "cached_input_tokens": 12032, + "output_tokens": 313, + "total_tokens": 14656, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8244.84, + "sql_execution_elapsed_ms_total": 5.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f3c39481776bf856b7168657303c8f0bb95b991 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:44.863370+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8244.84, "started_at": "2026-05-19T16:00:36.616830+00:00", "ended_at": "2026-05-19T16:00:44.861721+00:00", "prompt_metrics": {"chars": 7942, "bytes_utf8": 7942, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 546, "bytes_utf8": 546, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14343, "cached_input_tokens": 12032, "output_tokens": 313, "reasoning_output_tokens": 172}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"work_type\\\",\\n AVG(CASE WHEN \\\"work_type\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template exactly with group_col and condition_col both bound to \\\"work_type\\\" and condition_value bound to 'Self-employed'. This produces a self-referential rate: the \\\"Self-employed\\\" group will have rate 1.0 and other work_type groups will have rate 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..34b771f9c7b1868293699476811bd44cf6f73daf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_34501c6a006766e5", + "api_calls": 0, + "input_tokens": 14343, + "cached_input_tokens": 12032, + "output_tokens": 313, + "total_tokens": 14656, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8244.84, + "sql_execution_elapsed_ms_total": 5.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_34501c6a006766e5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6325f55edcce8d9159c63cc04b30006e455ad6e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=heart_disease. +Result preview: [{"heart_disease": "0", "row_count": 4834}, {"heart_disease": "1", "row_count": 276}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..78741e2adc5329c094a6b53742ddc341db7f1138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_3716efb3cd4f1be5 +-- problem_id: v2p_m7_021160eda1ffcf85 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "heart_disease" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0328e54da02e828257ff823c952d3a2e5600e8c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"heart_disease\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"heart_disease\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"heart_disease\", \"row_count\"], \"rows\": [{\"heart_disease\": \"0\", \"row_count\": 4834}, {\"heart_disease\": \"1\", \"row_count\": 276}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..69b8eb38184a5b400ae6c4470875e358a214f462 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:33:30.446003+00:00", + "ended_at": "2026-05-19T15:33:41.238361+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3716efb3cd4f1be5", + "problem_id": "v2p_m7_021160eda1ffcf85", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=heart_disease.", + "bindings": { + "group_col": "heart_disease", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=18" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3716efb3cd4f1be5.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3716efb3cd4f1be5", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 13696, + "output_tokens": 320, + "total_tokens": 14574, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10784.64, + "sql_execution_elapsed_ms_total": 2.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bae2e92f27e7d4f7ebaa982093b5c75bba38c48d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:41.233344+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10784.64, "started_at": "2026-05-19T15:33:30.447192+00:00", "ended_at": "2026-05-19T15:33:41.231868+00:00", "prompt_metrics": {"chars": 7580, "bytes_utf8": 7580, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 265, "bytes_utf8": 265, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14254, "cached_input_tokens": 13696, "output_tokens": 320, "reasoning_output_tokens": 245}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"heart_disease\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped-count template with \\\"heart_disease\\\" as the category column.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cf8637fda64d8ed69c96661b64dfcd2e0171ac9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3716efb3cd4f1be5", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 13696, + "output_tokens": 320, + "total_tokens": 14574, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10784.64, + "sql_execution_elapsed_ms_total": 2.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3716efb3cd4f1be5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..97908a7a9e100c390e2832d33f7553c941f8672d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, condition_col=gender. +Result preview: [{"gender": "Male", "condition_rate": 1.0}, {"gender": "Other", "condition_rate": 0.0}, {"gender": "Female", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc0aa0e924131e73a3879946ad99a6f63761d6b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_373a614e940f48cc +-- problem_id: v2p_m7_af184d41190b3f57 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", + AVG(CASE WHEN "gender" = 'Male' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e03a6ad8db23a41d7df8bba1155140345d22a414 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"gender\",\n AVG(CASE WHEN \"gender\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"gender\", \"condition_rate\"], \"rows\": [{\"gender\": \"Male\", \"condition_rate\": 1.0}, {\"gender\": \"Other\", \"condition_rate\": 0.0}, {\"gender\": \"Female\", \"condition_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9adb8df9bee35d8240258b68736454f6bb47c60c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:01:49.449863+00:00", + "ended_at": "2026-05-19T16:02:13.120009+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_373a614e940f48cc", + "problem_id": "v2p_m7_af184d41190b3f57", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, condition_col=gender.", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Male", + "positive_value": "Female", + "negative_value": "Male", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_373a614e940f48cc.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_373a614e940f48cc", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 468, + "total_tokens": 14805, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22662.27, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..61b7be2d6db32cc8bea140be77a7059cfdaba330 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:01.365057+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 11913.18, "started_at": "2026-05-19T16:01:49.451160+00:00", "ended_at": "2026-05-19T16:02:01.364366+00:00", "prompt_metrics": {"chars": 7911, "bytes_utf8": 7911, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-d4a4-7512-b10b-36b87c1d86dd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:13.116760+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10749.09, "started_at": "2026-05-19T16:02:02.366274+00:00", "ended_at": "2026-05-19T16:02:13.115411+00:00", "prompt_metrics": {"chars": 7911, "bytes_utf8": 7911, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 494, "bytes_utf8": 494, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14337, "cached_input_tokens": 12032, "output_tokens": 468, "reasoning_output_tokens": 333}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the planned Grouped Condition Rate template with group_col and condition_col both bound to \\\"gender\\\" and condition_value bound to 'Male'. This produces a deterministic within-group rate: 1.0 for the Male group and 0.0 for non-Male gender groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c410aef77d879412a20cf819605b07fa89aa31a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_373a614e940f48cc", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 468, + "total_tokens": 14805, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22662.27, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_373a614e940f48cc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cc33b3ed0dd6c898192563497e601f9153fcd91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Residence_type, group_col_2=stroke. +Result preview: [{"Residence_type": "Urban", "stroke": "0", "row_count": 15}, {"Residence_type": "Rural", "stroke": "0", "row_count": 7}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6aac3d5489f8a957a5d02b476597b16a966e88d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_38104d0bc8ddc8e3 +-- problem_id: v2p_m7_9a655e521201c293 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", "stroke", COUNT(*) AS row_count +FROM "m7" +WHERE "work_type" = 'Never_worked' +GROUP BY "Residence_type", "stroke" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2fd5b1573a6d9d2c985316e18ec6a2b067e3e91d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Residence_type\", \"stroke\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE \"work_type\" = 'Never_worked'\nGROUP BY \"Residence_type\", \"stroke\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Residence_type\\\", \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"work_type\\\" = 'Never_worked'\\nGROUP BY \\\"Residence_type\\\", \\\"stroke\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Residence_type\", \"stroke\", \"row_count\"], \"rows\": [{\"Residence_type\": \"Urban\", \"stroke\": \"0\", \"row_count\": 15}, {\"Residence_type\": \"Rural\", \"stroke\": \"0\", \"row_count\": 7}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2917bad52529d90b5457b59e4510a8e8e12aafc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:43:05.877447+00:00", + "ended_at": "2026-05-19T15:43:14.822673+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_38104d0bc8ddc8e3", + "problem_id": "v2p_m7_9a655e521201c293", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Residence_type, group_col_2=stroke.", + "bindings": { + "group_col": "Residence_type", + "group_col_2": "stroke", + "predicate_col": "work_type", + "predicate_op": "=", + "predicate_value": "Never_worked", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=54" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_38104d0bc8ddc8e3.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_38104d0bc8ddc8e3", + "api_calls": 0, + "input_tokens": 14371, + "cached_input_tokens": 13696, + "output_tokens": 333, + "total_tokens": 14704, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8939.56, + "sql_execution_elapsed_ms_total": 1.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ddc8ff312b0fd88831e99124932410b3382d8685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:14.819494+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8939.56, "started_at": "2026-05-19T15:43:05.878743+00:00", "ended_at": "2026-05-19T15:43:14.818340+00:00", "prompt_metrics": {"chars": 7989, "bytes_utf8": 7989, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14371, "cached_input_tokens": 13696, "output_tokens": 333, "reasoning_output_tokens": 224}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Residence_type\\\", \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"work_type\\\" = 'Never_worked'\\nGROUP BY \\\"Residence_type\\\", \\\"stroke\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"Residence_type\\\", group_col_2=\\\"stroke\\\", and predicate work_type = 'Never_worked'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..83d456b4e5bada50e3dab8dc5b909a328a1a8caa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_38104d0bc8ddc8e3", + "api_calls": 0, + "input_tokens": 14371, + "cached_input_tokens": 13696, + "output_tokens": 333, + "total_tokens": 14704, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8939.56, + "sql_execution_elapsed_ms_total": 1.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_38104d0bc8ddc8e3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..22b21f77f9eeaa1622f13fa290682e2294d93507 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:03.605723+00:00", + "ended_at": "2026-05-19T16:06:10.771344+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3afef8ba7e67c993", + "problem_id": "v2p_m7_751680de373a0367", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=Residence_type.", + "bindings": { + "group_col": "Residence_type", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b22c01baeb809d7ff170f19306d2dcc05cbcb01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3afef8ba7e67c993/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:06.955056+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3346.99, "started_at": "2026-05-19T16:06:03.606934+00:00", "ended_at": "2026-05-19T16:06:06.953959+00:00", "prompt_metrics": {"chars": 7661, "bytes_utf8": 7661, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-b560-7a52-a74a-d65b4d8f3177\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:10.771250+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2813.95, "started_at": "2026-05-19T16:06:07.956533+00:00", "ended_at": "2026-05-19T16:06:10.770533+00:00", "prompt_metrics": {"chars": 7661, "bytes_utf8": 7661, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-c644-75a3-bf94-beac3c649226\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fbe9d10e097971f1ec16a076bd89e2d0eb60acd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "0", "total_measure": 504652.65}, {"heart_disease": "1", "total_measure": 37761.98}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f7d4be1ba600f3bab5457becc88db6974820eed8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_3bba3cb41db2e4b3 +-- problem_id: v2p_m7_ee5e3572dbdd40a6 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "heart_disease" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bca59cff75e58e59937c06abfd49c33602842adc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"heart_disease\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"heart_disease\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"heart_disease\", \"total_measure\"], \"rows\": [{\"heart_disease\": \"0\", \"total_measure\": 504652.65}, {\"heart_disease\": \"1\", \"total_measure\": 37761.98}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d733ad3f9830028e1ddfd286d746b62519406a43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:29:09.694500+00:00", + "ended_at": "2026-05-19T15:29:17.440179+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3bba3cb41db2e4b3", + "problem_id": "v2p_m7_ee5e3572dbdd40a6", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3bba3cb41db2e4b3.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3bba3cb41db2e4b3", + "api_calls": 0, + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 265, + "total_tokens": 14551, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7733.71, + "sql_execution_elapsed_ms_total": 5.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..432ca607637bfe0bb37bc313ea874e2168683eca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:17.431222+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7733.71, "started_at": "2026-05-19T15:29:09.695891+00:00", "ended_at": "2026-05-19T15:29:17.429641+00:00", "prompt_metrics": {"chars": 7691, "bytes_utf8": 7691, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 439, "bytes_utf8": 439, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14286, "cached_input_tokens": 12032, "output_tokens": 265, "reasoning_output_tokens": 153}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"heart_disease\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"heart_disease\\\" and measure_col=\\\"avg_glucose_level\\\". Cast the text measure to REAL and treat empty strings as NULL for SQLite-safe numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ba374ef1dc5b9ee0aca8efa21f154df74a33c6d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_3bba3cb41db2e4b3", + "api_calls": 0, + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 265, + "total_tokens": 14551, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7733.71, + "sql_execution_elapsed_ms_total": 5.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3bba3cb41db2e4b3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..19b4554b159132f4d96172c2aee66bc4add32881 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"avg_glucose_level": "93.88", "support": 6, "avg_response": 23.833333333333332}, {"avg_glucose_level": "91.85", "support": 5, "avg_response": 52.6}, {"avg_glucose_level": "91.68", "support": 5, "avg_response": 51.0}, {"avg_glucose_level": "83.16", "support": 5, "avg_response": 46.6}, {"avg_glucose_level": "73", "support": 5, "avg_response": 40.6}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..393ff9c8b9f9b7f6a67cc77bd9fc23755b290bd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_3c4fb349dd57e377 +-- problem_id: v2p_m7_24cab3bfb625c046 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "avg_glucose_level", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m7" +GROUP BY "avg_glucose_level" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74502297614f8078bc5055f15e86a0ddc3357316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_3c4fb349dd57e377\n-- problem_id: v2p_m7_24cab3bfb625c046\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"avg_glucose_level\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m7\"\nGROUP BY \"avg_glucose_level\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_3c4fb349dd57e377\\n-- problem_id: v2p_m7_24cab3bfb625c046\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"avg_glucose_level\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"avg_glucose_level\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"avg_glucose_level\", \"support\", \"avg_response\"], \"rows\": [{\"avg_glucose_level\": \"93.88\", \"support\": 6, \"avg_response\": 23.833333333333332}, {\"avg_glucose_level\": \"91.85\", \"support\": 5, \"avg_response\": 52.6}, {\"avg_glucose_level\": \"91.68\", \"support\": 5, \"avg_response\": 51.0}, {\"avg_glucose_level\": \"83.16\", \"support\": 5, \"avg_response\": 46.6}, {\"avg_glucose_level\": \"73\", \"support\": 5, \"avg_response\": 40.6}, {\"avg_glucose_level\": \"72.49\", \"support\": 5, \"avg_response\": 38.2}, {\"avg_glucose_level\": \"84.1\", \"support\": 5, \"avg_response\": 27.8}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..59b92ab7ab3e6dbb25cc6614dfa97e676b25d9a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.931302+00:00", + "ended_at": "2026-05-19T16:09:16.935172+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3c4fb349dd57e377", + "problem_id": "v2p_m7_24cab3bfb625c046", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=avg_glucose_level.", + "bindings": { + "key_col": "avg_glucose_level", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c4fb349dd57e377.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3c4fb349dd57e377/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5b8b3952a7dfd6f96c5dd2f45ae85cba010a8e14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:56:53.389791+00:00", + "ended_at": "2026-05-19T15:57:01.411334+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_3edab2f1ec2fb2b9", + "problem_id": "v2p_m7_c38ebdf4e9b79098", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d264abea61965106ca7da56c0abdf2182f9c51c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_3edab2f1ec2fb2b9/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:57.101517+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3709.82, "started_at": "2026-05-19T15:56:53.390984+00:00", "ended_at": "2026-05-19T15:56:57.100834+00:00", "prompt_metrics": {"chars": 7869, "bytes_utf8": 7869, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-502f-79f1-8618-526b797b77ed\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:57:01.411246+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3307.6, "started_at": "2026-05-19T15:56:58.102876+00:00", "ended_at": "2026-05-19T15:57:01.410528+00:00", "prompt_metrics": {"chars": 7869, "bytes_utf8": 7869, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-628c-7612-8227-91b01e2439e7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..808cee52a6bd03fc4b22a41949d84c402b1f542d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"age": "82"}, {"age": "82"}, {"age": "82"}, {"age": "82"}, {"age": "82"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc9d43beaf2c07697443e01c89667fc44425134f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_41419ebb395fdd5e +-- problem_id: v2p_m7_7e0ca1a023791448 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "age", + NTILE(10) OVER (ORDER BY CAST(NULLIF("age", '') AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE NULLIF("age", '') IS NOT NULL +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("age" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3fa3b78c82e935955313199734f08e197976b56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"age\",\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\"age\", '') AS REAL) DESC) AS tail_bucket\n FROM \"m7\"\n WHERE NULLIF(\"age\", '') IS NOT NULL\n)\nSELECT \"age\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"age\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"age\\\", '') AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"age\\\" AS REAL) DESC;\", \"columns\": [\"age\"], \"rows\": [{\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}, {\"age\": \"82\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2e89048314df39c5a371dfac26ed274fb2886810 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:43:50.696740+00:00", + "ended_at": "2026-05-19T15:44:02.162312+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_41419ebb395fdd5e", + "problem_id": "v2p_m7_7e0ca1a023791448", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=61" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_41419ebb395fdd5e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_41419ebb395fdd5e", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 542, + "total_tokens": 14872, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11443.56, + "sql_execution_elapsed_ms_total": 16.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12cd6175385ff7ae2b53d741dc960bb52cd55f82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:02.142905+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11443.56, "started_at": "2026-05-19T15:43:50.698014+00:00", "ended_at": "2026-05-19T15:44:02.141606+00:00", "prompt_metrics": {"chars": 7818, "bytes_utf8": 7818, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 586, "bytes_utf8": 586, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14330, "cached_input_tokens": 13696, "output_tokens": 542, "reasoning_output_tokens": 383}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"age\\\", '') AS REAL) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"age\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"age\\\" and num_tiles=10. Cast \\\"age\\\" to REAL for correct numeric ordering because the SQLite snapshot stores it as TEXT, and excluded blank ages before bucketing.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..75023e67f7c5acc24d2c67cb9543eb451849eeaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_41419ebb395fdd5e", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 542, + "total_tokens": 14872, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11443.56, + "sql_execution_elapsed_ms_total": 16.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_41419ebb395fdd5e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8ef50cc3ca2fa00cc430481db595d3eb296fad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ever_married. +Result preview: [{"ever_married": "Yes", "row_count": 3353}, {"ever_married": "No", "row_count": 1757}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ab611109a74d44c03b2356376301e0f002886a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_44865bcf0453647e +-- problem_id: v2p_m7_71dd4f93e1884140 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa2a8bfbdf33524246147d19a4bc3433d62129fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"ever_married\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ever_married\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"ever_married\", \"row_count\"], \"rows\": [{\"ever_married\": \"Yes\", \"row_count\": 3353}, {\"ever_married\": \"No\", \"row_count\": 1757}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..68e2e5a85461b8fe65c0953d4abfa30d32c53502 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:33:41.239383+00:00", + "ended_at": "2026-05-19T15:33:52.095560+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_44865bcf0453647e", + "problem_id": "v2p_m7_71dd4f93e1884140", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ever_married.", + "bindings": { + "group_col": "ever_married", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=19" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44865bcf0453647e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_44865bcf0453647e", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 14640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10846.0, + "sql_execution_elapsed_ms_total": 3.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..163db8af376fed2e29f7be6623e289e878935de5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:52.088756+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10846.0, "started_at": "2026-05-19T15:33:41.241203+00:00", "ended_at": "2026-05-19T15:33:52.087245+00:00", "prompt_metrics": {"chars": 7575, "bytes_utf8": 7575, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 300, "bytes_utf8": 300, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14254, "cached_input_tokens": 12032, "output_tokens": 386, "reasoning_output_tokens": 300}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ever_married\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the Grouped Count by Category template with group_col bound to \\\"ever_married\\\" on the single table \\\"m7\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7a9c9618700773f60d09879bdf43b42ec036752a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_44865bcf0453647e", + "api_calls": 0, + "input_tokens": 14254, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 14640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10846.0, + "sql_execution_elapsed_ms_total": 3.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_44865bcf0453647e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..254b1ab43b77334ae8d857a2e736d2d1fdc9aabc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "0", "group_value": 135468.4}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..df1e3d2b4c3c0a9bd975cf64a27e867bc12b145e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_4bf35883b84822bb +-- problem_id: v2p_m7_cc95615c8ca26399 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "stroke", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "group_value" + FROM "m7" + WHERE "stroke" IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL + GROUP BY "stroke" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."stroke", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f24208efd721a94d4499b7c55e509e4b8078995 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"stroke\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"group_value\"\n FROM \"m7\"\n WHERE \"stroke\" IS NOT NULL\n AND NULLIF(\"bmi\", '') IS NOT NULL\n GROUP BY \"stroke\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"stroke\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"stroke\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"stroke\\\" IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n GROUP BY \\\"stroke\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"stroke\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"stroke\", \"group_value\"], \"rows\": [{\"stroke\": \"0\", \"group_value\": 135468.4}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..08591ee074b21f47a89e9f306eb1781dbbe51043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:49:16.047523+00:00", + "ended_at": "2026-05-19T15:49:31.671838+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_4bf35883b84822bb", + "problem_id": "v2p_m7_cc95615c8ca26399", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=stroke, measure_col=bmi.", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4bf35883b84822bb.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4bf35883b84822bb", + "api_calls": 0, + "input_tokens": 14414, + "cached_input_tokens": 13696, + "output_tokens": 590, + "total_tokens": 15004, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15615.71, + "sql_execution_elapsed_ms_total": 4.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd30de4c7f878dc26c56339304c86307701f0825 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:31.665248+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15615.71, "started_at": "2026-05-19T15:49:16.048469+00:00", "ended_at": "2026-05-19T15:49:31.664203+00:00", "prompt_metrics": {"chars": 8199, "bytes_utf8": 8199, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 790, "bytes_utf8": 790, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14414, "cached_input_tokens": 13696, "output_tokens": 590, "reasoning_output_tokens": 355}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"stroke\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"stroke\\\" IS NOT NULL\\n AND NULLIF(\\\"bmi\\\", '') IS NOT NULL\\n GROUP BY \\\"stroke\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"stroke\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Because \\\"bmi\\\" is stored as TEXT and may be empty, the query casts non-empty values to REAL and filters out empty BMI rows before aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dead67175301c00281025e308956658f848e610a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4bf35883b84822bb", + "api_calls": 0, + "input_tokens": 14414, + "cached_input_tokens": 13696, + "output_tokens": 590, + "total_tokens": 15004, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15615.71, + "sql_execution_elapsed_ms_total": 4.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4bf35883b84822bb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f242d4fb39e54de5b52eb88654016316bd8c57f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, condition_col=heart_disease. +Result preview: [{"heart_disease": "0", "condition_rate": 1.0}, {"heart_disease": "1", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee8e4da10402c9f1f29ca4e9e8ae0c5f2c1f5554 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_4d5848cd17caed61 +-- problem_id: v2p_m7_85015c09646a2701 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", + AVG(CASE WHEN "heart_disease" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d1b0af97d78fa5023912604e5d278b8cbc9cda67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"heart_disease\",\n AVG(CASE WHEN \"heart_disease\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"heart_disease\\\",\\n AVG(CASE WHEN \\\"heart_disease\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"heart_disease\", \"condition_rate\"], \"rows\": [{\"heart_disease\": \"0\", \"condition_rate\": 1.0}, {\"heart_disease\": \"1\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3cf38196706b190609bcf86aaf7da44dd95cb383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:59:49.641561+00:00", + "ended_at": "2026-05-19T15:59:58.401613+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_4d5848cd17caed61", + "problem_id": "v2p_m7_85015c09646a2701", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, condition_col=heart_disease.", + "bindings": { + "group_col": "heart_disease", + "condition_col": "heart_disease", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4d5848cd17caed61.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4d5848cd17caed61", + "api_calls": 0, + "input_tokens": 14345, + "cached_input_tokens": 13696, + "output_tokens": 365, + "total_tokens": 14710, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8750.98, + "sql_execution_elapsed_ms_total": 3.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8914b78508023f798cba466c695a44e9828aa81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:58.395185+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8750.98, "started_at": "2026-05-19T15:59:49.642686+00:00", "ended_at": "2026-05-19T15:59:58.393695+00:00", "prompt_metrics": {"chars": 7930, "bytes_utf8": 7930, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14345, "cached_input_tokens": 13696, "output_tokens": 365, "reasoning_output_tokens": 261}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"heart_disease\\\",\\n AVG(CASE WHEN \\\"heart_disease\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required template with both group_col and condition_col bound to \\\"heart_disease\\\" and condition_value bound to '0'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..55e798299bfeaae80a0e9ce768409698d5726ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_4d5848cd17caed61", + "api_calls": 0, + "input_tokens": 14345, + "cached_input_tokens": 13696, + "output_tokens": 365, + "total_tokens": 14710, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8750.98, + "sql_execution_elapsed_ms_total": 3.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_4d5848cd17caed61/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7086a3c8232de33cdb982ca733467c19f7e4e603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:10.771710+00:00", + "ended_at": "2026-05-19T16:06:18.089108+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_5692545efdd326b6", + "problem_id": "v2p_m7_ee693ba2a69970d7", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=smoking_status.", + "bindings": { + "group_col": "smoking_status", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..afd77f37399cd12d9c2f0e133cb4345f49159344 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5692545efdd326b6/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:14.230650+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3456.67, "started_at": "2026-05-19T16:06:10.773022+00:00", "ended_at": "2026-05-19T16:06:14.229720+00:00", "prompt_metrics": {"chars": 7661, "bytes_utf8": 7661, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-d152-7db2-ad42-06f28d167093\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:18.088983+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2856.62, "started_at": "2026-05-19T16:06:15.231665+00:00", "ended_at": "2026-05-19T16:06:18.088319+00:00", "prompt_metrics": {"chars": 7661, "bytes_utf8": 7661, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-e2d3-70d3-b534-9ba0c0ae4316\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..35f8143d27adc43c198645351c871ff25f7a2b48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:05:08.224625+00:00", + "ended_at": "2026-05-19T16:05:19.143640+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_5ed5d1b00a18eb17", + "problem_id": "v2p_m7_8b25ced842d77a6d", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=heart_disease.", + "bindings": { + "group_col": "heart_disease", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9308edae2392b7d4fd71ca899a2aa20531fbc85e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_5ed5d1b00a18eb17/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:12.945784+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4719.15, "started_at": "2026-05-19T16:05:08.225665+00:00", "ended_at": "2026-05-19T16:05:12.944836+00:00", "prompt_metrics": {"chars": 7661, "bytes_utf8": 7661, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-dd04-7661-9bab-3378c4ca1013\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:19.143442+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 5195.13, "started_at": "2026-05-19T16:05:13.946820+00:00", "ended_at": "2026-05-19T16:05:19.142007+00:00", "prompt_metrics": {"chars": 7661, "bytes_utf8": 7661, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-f38b-7f31-a3d1-b579a823a501\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7892a737e0cba7b32e575f76ac63addc5d2b0604 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=hypertension, condition_col=hypertension. +Result preview: [{"hypertension": "0", "condition_rate": 1.0}, {"hypertension": "1", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5330c1b06dac363b09c3dd6662d77b47255c657b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_60d047e20351ba77 +-- problem_id: v2p_m7_dc8af2039aa4403a +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", + AVG(CASE WHEN "hypertension" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "hypertension" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d0ce5cca687f1a457fffcb926753fe787dfbfaa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"hypertension\",\n AVG(CASE WHEN \"hypertension\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"hypertension\\\",\\n AVG(CASE WHEN \\\"hypertension\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"hypertension\", \"condition_rate\"], \"rows\": [{\"hypertension\": \"0\", \"condition_rate\": 1.0}, {\"hypertension\": \"1\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d7ebbe6b8bc10bcdcb413013336dfa3d679de50f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:59:25.937503+00:00", + "ended_at": "2026-05-19T15:59:36.712455+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_60d047e20351ba77", + "problem_id": "v2p_m7_dc8af2039aa4403a", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=hypertension, condition_col=hypertension.", + "bindings": { + "group_col": "hypertension", + "condition_col": "hypertension", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_60d047e20351ba77.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_60d047e20351ba77", + "api_calls": 0, + "input_tokens": 14340, + "cached_input_tokens": 13696, + "output_tokens": 489, + "total_tokens": 14829, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10768.31, + "sql_execution_elapsed_ms_total": 2.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9dc8012ca2723846f25ff1caf77cc722a69a154 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:36.708167+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10768.31, "started_at": "2026-05-19T15:59:25.938905+00:00", "ended_at": "2026-05-19T15:59:36.707242+00:00", "prompt_metrics": {"chars": 7910, "bytes_utf8": 7910, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 600, "bytes_utf8": 600, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14340, "cached_input_tokens": 13696, "output_tokens": 489, "reasoning_output_tokens": 335}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"hypertension\\\",\\n AVG(CASE WHEN \\\"hypertension\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the requested Grouped Condition Rate template with group_col and condition_col both bound to \\\"hypertension\\\" and condition_value bound to '0'. Because the grouping column and condition column are the same, the result is a direction-consistency probe with deterministic per-group rates: the '0' group yields 1.0 and the '1' group yields 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b19a76cc4671aae1157c3e9e5cf925b50671627 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_60d047e20351ba77", + "api_calls": 0, + "input_tokens": 14340, + "cached_input_tokens": 13696, + "output_tokens": 489, + "total_tokens": 14829, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10768.31, + "sql_execution_elapsed_ms_total": 2.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_60d047e20351ba77/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..53b4a3bae2c8a9fc891c5408807c12c52fc59680 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ever_married, measure_col=bmi. +Result preview: [{"ever_married": "Yes", "total_measure": 98845.8}, {"ever_married": "No", "total_measure": 42991.1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7d0da212b971defe825460eddc00cbf024bfb5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_620d3017749bce96 +-- problem_id: v2p_m7_7b39c6129d48c8f9 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..036806256b208c2861aa16a29ac7f0fb3335a586 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"ever_married\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ever_married\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"ever_married\", \"total_measure\"], \"rows\": [{\"ever_married\": \"Yes\", \"total_measure\": 98845.8}, {\"ever_married\": \"No\", \"total_measure\": 42991.1}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..789597b5231c58ac32701d2eca25073efab793b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:29:27.320524+00:00", + "ended_at": "2026-05-19T15:29:38.106389+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_620d3017749bce96", + "problem_id": "v2p_m7_7b39c6129d48c8f9", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_620d3017749bce96.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_620d3017749bce96", + "api_calls": 0, + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 334, + "total_tokens": 14614, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10774.28, + "sql_execution_elapsed_ms_total": 5.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c080019f3a99c25121c364cbeac0fd751fa356c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:38.097661+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10774.28, "started_at": "2026-05-19T15:29:27.321767+00:00", "ended_at": "2026-05-19T15:29:38.096093+00:00", "prompt_metrics": {"chars": 7658, "bytes_utf8": 7658, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14280, "cached_input_tokens": 12032, "output_tokens": 334, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ever_married\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the grouped numeric sum template with group_col=\\\"ever_married\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, NULLIF + CAST to REAL is used so SQLite sums numeric values correctly and ignores blanks.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b4b85f1ae847079d6c07d444091e0193a04ee2a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_620d3017749bce96", + "api_calls": 0, + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 334, + "total_tokens": 14614, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10774.28, + "sql_execution_elapsed_ms_total": 5.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_620d3017749bce96/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..67bbe77208983d896388249d4f54a3c285b17e7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "1", "avg_glucose_level": "74.9", "total_measure": 146.0, "share_within_group": 0.4709981289115427}, {"hypertension": "1", "avg_glucose_level": "205.23", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "60.98", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "91.85", "total_measure": 139.0, "share_within_group": 0.4484160268404413}, {"hypertension": "1", "avg_glucose_level": "90.77", "total_measure": 137.0, "share_within_group": 0.4419639976772695}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..62aee7f8b991c3c1f8c737431e72bac1eccbee3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_62b827a5b43cce35 +-- problem_id: v2p_m7_4dbaf48a8fef4ad6 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +WHERE NULLIF("hypertension", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("age", '') IS NOT NULL +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ee81b9f16d0c2311c3555ec90d692b3e8cbbae0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"hypertension\", \"avg_glucose_level\",\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"age\", '') AS REAL))) OVER (PARTITION BY \"hypertension\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"hypertension\", '') IS NOT NULL\n AND NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"age\", '') IS NOT NULL\nGROUP BY \"hypertension\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"hypertension\\\", \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"hypertension\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"hypertension\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"age\\\", '') IS NOT NULL\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"hypertension\", \"avg_glucose_level\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"hypertension\": \"1\", \"avg_glucose_level\": \"74.9\", \"total_measure\": 146.0, \"share_within_group\": 0.4709981289115427}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"205.23\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"60.98\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"91.85\", \"total_measure\": 139.0, \"share_within_group\": 0.4484160268404413}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"90.77\", \"total_measure\": 137.0, \"share_within_group\": 0.4419639976772695}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"109.51\", \"total_measure\": 130.0, \"share_within_group\": 0.4193818956061681}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"78.68\", \"total_measure\": 129.0, \"share_within_group\": 0.41615588102458223}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.04\", \"total_measure\": 124.0, \"share_within_group\": 0.40002580811665267}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"97.06\", \"total_measure\": 121.0, \"share_within_group\": 0.39034776437189495}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"79.79\", \"total_measure\": 118.0, \"share_within_group\": 0.3806697206271372}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"101.56\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"107.21\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.71\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"196.92\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"215.94\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"222.52\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"227.28\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"61.47\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"62.46\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"71.97\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"73.19\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.32\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"84.03\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"117.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"126.34\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"164.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"174.54\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"181.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"216.07\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"217.94\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"220.64\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"231.19\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"250.89\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"58.71\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.11\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.28\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"74.02\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"80.43\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"103.6\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"114.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.52\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"125.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"175.29\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"178.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.96\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"213.33\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"218\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"232.12\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"240.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 36.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fb0d67027a8633bf91870ae7eb536864ecead6bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:34:20.921442+00:00", + "ended_at": "2026-05-19T15:34:36.697503+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_62b827a5b43cce35", + "problem_id": "v2p_m7_4dbaf48a8fef4ad6", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age.", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "item_col": "avg_glucose_level", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_62b827a5b43cce35.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_62b827a5b43cce35", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 706, + "total_tokens": 15103, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15734.41, + "sql_execution_elapsed_ms_total": 36.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4dcfcba8b791eb58cdcfeac297abd4242e727a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:36.658639+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15734.41, "started_at": "2026-05-19T15:34:20.922543+00:00", "ended_at": "2026-05-19T15:34:36.656982+00:00", "prompt_metrics": {"chars": 8070, "bytes_utf8": 8070, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 836, "bytes_utf8": 836, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 12032, "output_tokens": 706, "reasoning_output_tokens": 483}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"hypertension\\\", \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"hypertension\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"hypertension\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"age\\\", '') IS NOT NULL\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"hypertension\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". Because the schema stores values as TEXT, the query casts \\\"age\\\" to REAL and excludes empty strings so aggregation works correctly in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..99f7de74c8c538149ef814ad572543d9932e36c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_62b827a5b43cce35", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 706, + "total_tokens": 15103, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15734.41, + "sql_execution_elapsed_ms_total": 36.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_62b827a5b43cce35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6862aebeaee3ce6cc83af8b5509cc7e00487243 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"heart_disease": "0", "total_rows": 4834, "missing_rows": 0, "missing_rate": 0.0}, {"heart_disease": "1", "total_rows": 276, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a701f180da3a25afd00abb481074d087876b979b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_6aa7a07f8be11103 +-- problem_id: v2p_m7_bd2e43035213ebd2 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "heart_disease", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35192b93c0e18cf9d2e539c94b9d1b2738993080 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_6aa7a07f8be11103\n-- problem_id: v2p_m7_bd2e43035213ebd2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"heart_disease\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"heart_disease\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_6aa7a07f8be11103\\n-- problem_id: v2p_m7_bd2e43035213ebd2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"heart_disease\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"heart_disease\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"heart_disease\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"heart_disease\": \"0\", \"total_rows\": 4834, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"heart_disease\": \"1\", \"total_rows\": 276, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dec291c8625340fc91f51106c35ef476dde82208 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.844347+00:00", + "ended_at": "2026-05-19T16:09:16.846842+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_6aa7a07f8be11103", + "problem_id": "v2p_m7_bd2e43035213ebd2", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=heart_disease, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "heart_disease" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6aa7a07f8be11103.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6aa7a07f8be11103/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b105688036ddceec62e5a5a6cb642b2309c07932 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4861, "support_share": 0.9512720156555773, "support_rank": 1}, {"value_label": "1", "support": 249, "support_share": 0.0487279843444227, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..95afe632fff61e05c604db5402f03abccfcf6dbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_6b4608b2bc577631 +-- problem_id: v2p_m7_5f4653522a16363f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "stroke" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "stroke" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67563eeb32a912c21a7695bf8ece39a8661c84f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_6b4608b2bc577631\n-- problem_id: v2p_m7_5f4653522a16363f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"stroke\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"stroke\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_6b4608b2bc577631\\n-- problem_id: v2p_m7_5f4653522a16363f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"stroke\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4861, \"support_share\": 0.9512720156555773, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 249, \"support_share\": 0.0487279843444227, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aac9beff67616a42edd83d3ce5e23a704bd0c1da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.899837+00:00", + "ended_at": "2026-05-19T16:09:16.901755+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_6b4608b2bc577631", + "problem_id": "v2p_m7_5f4653522a16363f", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=stroke.", + "bindings": { + "group_col": "stroke" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6b4608b2bc577631.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6b4608b2bc577631/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3aa85f15166f65dddb05812957749530d4990e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=work_type, group_col_2=smoking_status. +Result preview: [{"work_type": "Private", "smoking_status": "never smoked", "row_count": 130}, {"work_type": "Self-employed", "smoking_status": "never smoked", "row_count": 68}, {"work_type": "Private", "smoking_status": "formerly smoked", "row_count": 63}, {"work_type": "Private", "smoking_status": "smokes", "row_count": 59}, {"work_type": "Self-employed", "smoking_status": "formerly smoked", "row_count": 37}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c7e13222de7b5e546bfb01d0a1fc333562d7ed97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_6f57523339d4b581 +-- problem_id: v2p_m7_8885b01fceb0b82d +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "smoking_status", COUNT(*) AS row_count +FROM "m7" +WHERE "hypertension" = '1' +GROUP BY "work_type", "smoking_status" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1eef1013ff7e251d42a6b28c9440745afa9e94f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"work_type\", \"smoking_status\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE \"hypertension\" = '1'\nGROUP BY \"work_type\", \"smoking_status\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"work_type\\\", \\\"smoking_status\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"hypertension\\\" = '1'\\nGROUP BY \\\"work_type\\\", \\\"smoking_status\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"work_type\", \"smoking_status\", \"row_count\"], \"rows\": [{\"work_type\": \"Private\", \"smoking_status\": \"never smoked\", \"row_count\": 130}, {\"work_type\": \"Self-employed\", \"smoking_status\": \"never smoked\", \"row_count\": 68}, {\"work_type\": \"Private\", \"smoking_status\": \"formerly smoked\", \"row_count\": 63}, {\"work_type\": \"Private\", \"smoking_status\": \"smokes\", \"row_count\": 59}, {\"work_type\": \"Self-employed\", \"smoking_status\": \"formerly smoked\", \"row_count\": 37}, {\"work_type\": \"Govt_job\", \"smoking_status\": \"never smoked\", \"row_count\": 34}, {\"work_type\": \"Private\", \"smoking_status\": \"Unknown\", \"row_count\": 29}, {\"work_type\": \"Govt_job\", \"smoking_status\": \"formerly smoked\", \"row_count\": 20}, {\"work_type\": \"Self-employed\", \"smoking_status\": \"Unknown\", \"row_count\": 20}, {\"work_type\": \"Self-employed\", \"smoking_status\": \"smokes\", \"row_count\": 19}, {\"work_type\": \"Govt_job\", \"smoking_status\": \"smokes\", \"row_count\": 16}, {\"work_type\": \"Govt_job\", \"smoking_status\": \"Unknown\", \"row_count\": 3}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..96bbec3d05e6dcbafba565b2e31773b78180c11d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:41:59.691842+00:00", + "ended_at": "2026-05-19T15:42:17.304307+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_6f57523339d4b581", + "problem_id": "v2p_m7_8885b01fceb0b82d", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=work_type, group_col_2=smoking_status.", + "bindings": { + "group_col": "work_type", + "group_col_2": "smoking_status", + "predicate_col": "hypertension", + "predicate_op": "=", + "predicate_value": "1", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6f57523339d4b581.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_6f57523339d4b581", + "api_calls": 0, + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 264, + "total_tokens": 14637, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17607.81, + "sql_execution_elapsed_ms_total": 1.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..617adbad37cf8ec8e631d7c2b90f57f0b8ec5b6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:17.301723+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17607.81, "started_at": "2026-05-19T15:41:59.693063+00:00", "ended_at": "2026-05-19T15:42:17.300905+00:00", "prompt_metrics": {"chars": 7984, "bytes_utf8": 7984, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14373, "cached_input_tokens": 13696, "output_tokens": 264, "reasoning_output_tokens": 161}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"work_type\\\", \\\"smoking_status\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"hypertension\\\" = '1'\\nGROUP BY \\\"work_type\\\", \\\"smoking_status\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template using work_type and smoking_status, with hypertension = '1' as the filter.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8453a542ece6abbc02b0af3c8ebf67744f5d68b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_6f57523339d4b581", + "api_calls": 0, + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 264, + "total_tokens": 14637, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17607.81, + "sql_execution_elapsed_ms_total": 1.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6f57523339d4b581/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed9569e6c40370b8adc81a01915f633ddeb1dbf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi. +Result preview: [{"empirical_cdf_at_threshold": 0.7535139539621104}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8092ddefd58ebc2212eb6b3bbf040e004794cd78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/generated_sql.sql @@ -0,0 +1,16 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_6fd798bebc907eda +-- problem_id: v2p_m7_5fb6ccc6498951d4 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST(NULLIF("bmi", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d105795f2fae22fc2a4fe41627ccf235d9c9787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(NULLIF(\"bmi\", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\"\nWHERE NULLIF(\"bmi\", '') IS NOT NULL;", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(NULLIF(\\\"bmi\\\", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL;\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7535139539621104}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3347a235afe1d537bd973aa5f060b83ef5ac7a8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:02:50.202137+00:00", + "ended_at": "2026-05-19T16:03:04.888379+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_6fd798bebc907eda", + "problem_id": "v2p_m7_5fb6ccc6498951d4", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "bindings": { + "measure_col": "bmi", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=111" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6fd798bebc907eda.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_6fd798bebc907eda", + "api_calls": 0, + "input_tokens": 14267, + "cached_input_tokens": 12032, + "output_tokens": 417, + "total_tokens": 14684, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13674.94, + "sql_execution_elapsed_ms_total": 3.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b58a637826c8abeadbc7d4ae0f21a5cc743d55e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:53.617942+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3414.14, "started_at": "2026-05-19T16:02:50.203033+00:00", "ended_at": "2026-05-19T16:02:53.617198+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-c1f1-70d0-a936-48ddf40c5403\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:04.881724+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10260.8, "started_at": "2026-05-19T16:02:54.619245+00:00", "ended_at": "2026-05-19T16:03:04.880097+00:00", "prompt_metrics": {"chars": 7584, "bytes_utf8": 7584, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 422, "bytes_utf8": 422, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14267, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 293}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(NULLIF(\\\"bmi\\\", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL;\",\"notes\":\"Applies the Threshold Rarity CDF template on \\\"bmi\\\", casting text BMI values to REAL and excluding empty-string BMI entries so missing values do not bias the empirical CDF at threshold 33.1.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..42c609f5a104d24b76e24a55be57fb0f65d61cc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_6fd798bebc907eda", + "api_calls": 0, + "input_tokens": 14267, + "cached_input_tokens": 12032, + "output_tokens": 417, + "total_tokens": 14684, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13674.94, + "sql_execution_elapsed_ms_total": 3.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_6fd798bebc907eda/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d13421febc425c08bdd5a6c3b4110325885251c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"smoking_status": "never smoked", "total_rows": 1892, "missing_rows": 0, "missing_rate": 0.0}, {"smoking_status": "Unknown", "total_rows": 1544, "missing_rows": 0, "missing_rate": 0.0}, {"smoking_status": "formerly smoked", "total_rows": 885, "missing_rows": 0, "missing_rate": 0.0}, {"smoking_status": "smokes", "total_rows": 789, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0a6282d480c1e7c4c643ad17579e4945bbd1635f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_715851230bfaff1e +-- problem_id: v2p_m7_973693e3d5dc65a7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "smoking_status", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "smoking_status" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30684db183a34e8edd179444f6f6895e4c75df09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_715851230bfaff1e\n-- problem_id: v2p_m7_973693e3d5dc65a7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"smoking_status\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_715851230bfaff1e\\n-- problem_id: v2p_m7_973693e3d5dc65a7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"smoking_status\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"smoking_status\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"total_rows\": 1892, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"smoking_status\": \"Unknown\", \"total_rows\": 1544, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"smoking_status\": \"formerly smoked\", \"total_rows\": 885, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"smoking_status\": \"smokes\", \"total_rows\": 789, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bac94cc79fcd7386a22ed67c9eae5e2228c6e6bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.829078+00:00", + "ended_at": "2026-05-19T16:09:16.832004+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_715851230bfaff1e", + "problem_id": "v2p_m7_973693e3d5dc65a7", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=smoking_status, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "smoking_status" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_715851230bfaff1e.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_715851230bfaff1e/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c79a7888aace004fa0293c3ef23c4d26f632c2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"gender": "Female", "total_rows": 2994, "missing_rows": 0, "missing_rate": 0.0}, {"gender": "Male", "total_rows": 2115, "missing_rows": 0, "missing_rate": 0.0}, {"gender": "Other", "total_rows": 1, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd6305ea8299650b5c472e4f46966a633d07587b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_71ff7e6b8217b046 +-- problem_id: v2p_m7_9bd29cb750c3dc59 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "gender", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "gender" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bfbdac499b2ecca8d2b0ddd6f0564a36993223b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_71ff7e6b8217b046\n-- problem_id: v2p_m7_9bd29cb750c3dc59\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"gender\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_71ff7e6b8217b046\\n-- problem_id: v2p_m7_9bd29cb750c3dc59\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"gender\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"gender\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"gender\": \"Female\", \"total_rows\": 2994, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"gender\": \"Male\", \"total_rows\": 2115, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"gender\": \"Other\", \"total_rows\": 1, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..33b6aabd32b55d24e137a9b1f69c5b16d351e9ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.838281+00:00", + "ended_at": "2026-05-19T16:09:16.840908+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_71ff7e6b8217b046", + "problem_id": "v2p_m7_9bd29cb750c3dc59", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=gender, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "gender" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_71ff7e6b8217b046.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_71ff7e6b8217b046/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..65524f8b6d65f273de698a7cad7fd9b1ade2ee4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=work_type, group_col_2=Residence_type. +Result preview: [{"work_type": "Private", "Residence_type": "Urban", "row_count": 345}, {"work_type": "Private", "Residence_type": "Rural", "row_count": 328}, {"work_type": "Self-employed", "Residence_type": "Urban", "row_count": 231}, {"work_type": "Self-employed", "Residence_type": "Rural", "row_count": 218}, {"work_type": "Govt_job", "Residence_type": "Urban", "row_count": 96}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1ca306edf21cf68c1d3c3de5487d988ec85f2971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_7236ca9401396042 +-- problem_id: v2p_m7_11ba55b9d752e109 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "Residence_type", COUNT(*) AS row_count +FROM "m7" +WHERE CAST(NULLIF("age", '') AS REAL) >= 61.0 +GROUP BY "work_type", "Residence_type" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6eda1718cacccd880cb96cefdb1d3210573b1c3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"work_type\", \"Residence_type\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE CAST(NULLIF(\"age\", '') AS REAL) >= 61.0\nGROUP BY \"work_type\", \"Residence_type\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"work_type\\\", \\\"Residence_type\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE CAST(NULLIF(\\\"age\\\", '') AS REAL) >= 61.0\\nGROUP BY \\\"work_type\\\", \\\"Residence_type\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"work_type\", \"Residence_type\", \"row_count\"], \"rows\": [{\"work_type\": \"Private\", \"Residence_type\": \"Urban\", \"row_count\": 345}, {\"work_type\": \"Private\", \"Residence_type\": \"Rural\", \"row_count\": 328}, {\"work_type\": \"Self-employed\", \"Residence_type\": \"Urban\", \"row_count\": 231}, {\"work_type\": \"Self-employed\", \"Residence_type\": \"Rural\", \"row_count\": 218}, {\"work_type\": \"Govt_job\", \"Residence_type\": \"Urban\", \"row_count\": 96}, {\"work_type\": \"Govt_job\", \"Residence_type\": \"Rural\", \"row_count\": 86}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..33853feb540eb43ac5d394fbf8e41aed16026adb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:41:39.319224+00:00", + "ended_at": "2026-05-19T15:41:59.691144+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7236ca9401396042", + "problem_id": "v2p_m7_11ba55b9d752e109", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=work_type, group_col_2=Residence_type.", + "bindings": { + "group_col": "work_type", + "group_col_2": "Residence_type", + "predicate_col": "age", + "predicate_op": ">=", + "predicate_value": 61.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7236ca9401396042.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7236ca9401396042", + "api_calls": 0, + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 358, + "total_tokens": 14731, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20363.85, + "sql_execution_elapsed_ms_total": 2.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac65f04c331d4671c00a0de50215662008142980 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:59.686165+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20363.85, "started_at": "2026-05-19T15:41:39.320526+00:00", "ended_at": "2026-05-19T15:41:59.684406+00:00", "prompt_metrics": {"chars": 7980, "bytes_utf8": 7980, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 504, "bytes_utf8": 504, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14373, "cached_input_tokens": 13696, "output_tokens": 358, "reasoning_output_tokens": 221}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"work_type\\\", \\\"Residence_type\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE CAST(NULLIF(\\\"age\\\", '') AS REAL) >= 61.0\\nGROUP BY \\\"work_type\\\", \\\"Residence_type\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required filtered two-dimensional group count template with group_col=\\\"work_type\\\", group_col_2=\\\"Residence_type\\\", and predicate on \\\"age\\\" >= 61.0. CAST/NULLIF is applied because \\\"age\\\" is stored as TEXT in the schema snapshot.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c496d0e7db173b97af7fc4729e9a3cee09bb2b83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7236ca9401396042", + "api_calls": 0, + "input_tokens": 14373, + "cached_input_tokens": 13696, + "output_tokens": 358, + "total_tokens": 14731, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20363.85, + "sql_execution_elapsed_ms_total": 2.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7236ca9401396042/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4303ed461442f9a708bf90fcf96f193cf203d856 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Other", "age": "26", "total_measure": 56156, "share_within_group": 100.0}, {"gender": "Female", "age": "78", "total_measure": 2376968, "share_within_group": 2.1763085038765317}, {"gender": "Female", "age": "45", "total_measure": 2282593, "share_within_group": 2.089900476905471}, {"gender": "Male", "age": "53", "total_measure": 1602110, "share_within_group": 2.0717892946151726}, {"gender": "Male", "age": "57", "total_measure": 1595453, "share_within_group": 2.063180708853737}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba0d8d5459c662d862f557b0fe681214e6743590 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_73eca76c5d055da2 +-- problem_id: v2p_m7_5f053c4b1d97de8c +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "age", + SUM(CAST("id" AS NUMERIC)) AS "total_measure", + SUM(CAST("id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("id" AS NUMERIC))) OVER (PARTITION BY "gender") AS "share_within_group" +FROM "m7" +GROUP BY "gender", "age" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a04953475e743ce97fb22e52963f6e18759211d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"gender\", \"age\",\n SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\",\n SUM(CAST(\"id\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"id\" AS NUMERIC))) OVER (PARTITION BY \"gender\") AS \"share_within_group\"\nFROM \"m7\"\nGROUP BY \"gender\", \"age\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"gender\\\", \\\"age\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"gender\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"gender\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gender\": \"Other\", \"age\": \"26\", \"total_measure\": 56156, \"share_within_group\": 100.0}, {\"gender\": \"Female\", \"age\": \"78\", \"total_measure\": 2376968, \"share_within_group\": 2.1763085038765317}, {\"gender\": \"Female\", \"age\": \"45\", \"total_measure\": 2282593, \"share_within_group\": 2.089900476905471}, {\"gender\": \"Male\", \"age\": \"53\", \"total_measure\": 1602110, \"share_within_group\": 2.0717892946151726}, {\"gender\": \"Male\", \"age\": \"57\", \"total_measure\": 1595453, \"share_within_group\": 2.063180708853737}, {\"gender\": \"Male\", \"age\": \"54\", \"total_measure\": 1521130, \"share_within_group\": 1.9670689588842072}, {\"gender\": \"Male\", \"age\": \"61\", \"total_measure\": 1514976, \"share_within_group\": 1.9591108340868701}, {\"gender\": \"Female\", \"age\": \"79\", \"total_measure\": 2081640, \"share_within_group\": 1.9059115789566978}, {\"gender\": \"Female\", \"age\": \"52\", \"total_measure\": 2042678, \"share_within_group\": 1.8702386830960729}, {\"gender\": \"Female\", \"age\": \"57\", \"total_measure\": 2023427, \"share_within_group\": 1.8526128189665907}, {\"gender\": \"Male\", \"age\": \"55\", \"total_measure\": 1414898, \"share_within_group\": 1.8296936723273798}, {\"gender\": \"Male\", \"age\": \"52\", \"total_measure\": 1398333, \"share_within_group\": 1.8082724280524545}, {\"gender\": \"Female\", \"age\": \"50\", \"total_measure\": 1935331, \"share_within_group\": 1.7719537297581929}, {\"gender\": \"Male\", \"age\": \"58\", \"total_measure\": 1368975, \"share_within_group\": 1.7703077501518658}, {\"gender\": \"Female\", \"age\": \"53\", \"total_measure\": 1916550, \"share_within_group\": 1.7547581890477983}, {\"gender\": \"Female\", \"age\": \"38\", \"total_measure\": 1914029, \"share_within_group\": 1.7524500074743516}, {\"gender\": \"Male\", \"age\": \"59\", \"total_measure\": 1354469, \"share_within_group\": 1.7515491283920068}, {\"gender\": \"Male\", \"age\": \"62\", \"total_measure\": 1345708, \"share_within_group\": 1.7402197277827332}, {\"gender\": \"Female\", \"age\": \"40\", \"total_measure\": 1892996, \"share_within_group\": 1.7331925766793073}, {\"gender\": \"Male\", \"age\": \"46\", \"total_measure\": 1307522, \"share_within_group\": 1.6908390073551876}, {\"gender\": \"Male\", \"age\": \"78\", \"total_measure\": 1289611, \"share_within_group\": 1.6676771657488982}, {\"gender\": \"Male\", \"age\": \"47\", \"total_measure\": 1287566, \"share_within_group\": 1.665032647515139}, {\"gender\": \"Female\", \"age\": \"31\", \"total_measure\": 1818075, \"share_within_group\": 1.664596276931505}, {\"gender\": \"Female\", \"age\": \"47\", \"total_measure\": 1800670, \"share_within_group\": 1.6486605766991203}, {\"gender\": \"Female\", \"age\": \"56\", \"total_measure\": 1785042, \"share_within_group\": 1.634351865223584}, {\"gender\": \"Male\", \"age\": \"5\", \"total_measure\": 1252317, \"share_within_group\": 1.6194499466731929}, {\"gender\": \"Male\", \"age\": \"63\", \"total_measure\": 1245395, \"share_within_group\": 1.6104986727298767}, {\"gender\": \"Female\", \"age\": \"49\", \"total_measure\": 1731542, \"share_within_group\": 1.5853682419870094}, {\"gender\": \"Male\", \"age\": \"80\", \"total_measure\": 1225365, \"share_within_group\": 1.5845966188314915}, {\"gender\": \"Female\", \"age\": \"51\", \"total_measure\": 1718665, \"share_within_group\": 1.57357829588575}, {\"gender\": \"Female\", \"age\": \"37\", \"total_measure\": 1693848, \"share_within_group\": 1.5508563037761787}, {\"gender\": \"Male\", \"age\": \"49\", \"total_measure\": 1197142, \"share_within_group\": 1.548099680879713}, {\"gender\": \"Female\", \"age\": \"26\", \"total_measure\": 1686892, \"share_within_group\": 1.5444875171736812}, {\"gender\": \"Female\", \"age\": \"48\", \"total_measure\": 1675743, \"share_within_group\": 1.534279696323876}, {\"gender\": \"Female\", \"age\": \"55\", \"total_measure\": 1667962, \"share_within_group\": 1.5271555547836184}, {\"gender\": \"Female\", \"age\": \"34\", \"total_measure\": 1661503, \"share_within_group\": 1.5212418123072626}, {\"gender\": \"Female\", \"age\": \"62\", \"total_measure\": 1659865, \"share_within_group\": 1.519742089412655}, {\"gender\": \"Female\", \"age\": \"23\", \"total_measure\": 1657139, \"share_within_group\": 1.5172462135819464}, {\"gender\": \"Male\", \"age\": \"39\", \"total_measure\": 1170963, \"share_within_group\": 1.514245967998743}, {\"gender\": \"Female\", \"age\": \"44\", \"total_measure\": 1653121, \"share_within_group\": 1.5135674061396183}, {\"gender\": \"Female\", \"age\": \"59\", \"total_measure\": 1649112, \"share_within_group\": 1.5098968389329748}, {\"gender\": \"Female\", \"age\": \"27\", \"total_measure\": 1608236, \"share_within_group\": 1.4724715196167464}, {\"gender\": \"Male\", \"age\": \"60\", \"total_measure\": 1137532, \"share_within_group\": 1.4710142374007942}, {\"gender\": \"Male\", \"age\": \"56\", \"total_measure\": 1134065, \"share_within_group\": 1.466530841451433}, {\"gender\": \"Male\", \"age\": \"2\", \"total_measure\": 1130543, \"share_within_group\": 1.461976321539795}, {\"gender\": \"Male\", \"age\": \"15\", \"total_measure\": 1115390, \"share_within_group\": 1.4423810233509666}, {\"gender\": \"Female\", \"age\": \"42\", \"total_measure\": 1566152, \"share_within_group\": 1.4339401775552882}, {\"gender\": \"Female\", \"age\": \"60\", \"total_measure\": 1553349, \"share_within_group\": 1.4222179845029916}, {\"gender\": \"Male\", \"age\": \"37\", \"total_measure\": 1097035, \"share_within_group\": 1.418645017394658}, {\"gender\": \"Female\", \"age\": \"80\", \"total_measure\": 1530240, \"share_within_group\": 1.4010598060100194}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..614d07bbef823d2f03619e2a6eb058fbc5363e11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:33:52.096814+00:00", + "ended_at": "2026-05-19T15:34:05.492270+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_73eca76c5d055da2", + "problem_id": "v2p_m7_5f053c4b1d97de8c", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "item_col": "age", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73eca76c5d055da2.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_73eca76c5d055da2", + "api_calls": 0, + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 682, + "total_tokens": 15075, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13384.85, + "sql_execution_elapsed_ms_total": 5.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..32cc1d7eb19ec0e23ef3de3eb0ebee8280bb7322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:05.484882+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13384.85, "started_at": "2026-05-19T15:33:52.099188+00:00", "ended_at": "2026-05-19T15:34:05.484074+00:00", "prompt_metrics": {"chars": 8050, "bytes_utf8": 8050, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14393, "cached_input_tokens": 13696, "output_tokens": 682, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"gender\\\", \\\"age\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"gender\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided within-group share template with group_col=\\\"gender\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS NUMERIC) is used because the SQLite schema stores all fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96e846ecb1d63fed12b0e3fc824083ace7731b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_73eca76c5d055da2", + "api_calls": 0, + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 682, + "total_tokens": 15075, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13384.85, + "sql_execution_elapsed_ms_total": 5.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73eca76c5d055da2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e6541ef5dd0f96f85b3eaed5c5458203de7ed34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ever_married, measure_col=bmi. +Result preview: [{"ever_married": "No", "id": "56420", "total_measure": 97.6, "share_within_group": 0.2270237328191184}, {"ever_married": "No", "id": "41097", "total_measure": 78.0, "share_within_group": 0.18143290122839378}, {"ever_married": "No", "id": "3590", "total_measure": 57.5, "share_within_group": 0.13374861308503389}, {"ever_married": "No", "id": "8960", "total_measure": 56.0, "share_within_group": 0.13025951883064169}, {"ever_married": "No", "id": "31145", "total_measure": 55.7, "share_within_group": 0.12956169997976325}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7dc214d6bfc5d5fdceaa58dcba988a390e323262 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_73f49e4ea98e6e18 +-- problem_id: v2p_m7_51099655572a1b49 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ever_married", + "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "ever_married") AS share_within_group +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL +GROUP BY "ever_married", "id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f31790e17d53505178251ad9e59cb899ec6713c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ever_married\",\n \"id\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"bmi\", '') AS REAL))) OVER (PARTITION BY \"ever_married\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"ever_married\", \"id\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ever_married\\\",\\n \\\"id\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL))) OVER (PARTITION BY \\\"ever_married\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"ever_married\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"ever_married\", \"id\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ever_married\": \"No\", \"id\": \"56420\", \"total_measure\": 97.6, \"share_within_group\": 0.2270237328191184}, {\"ever_married\": \"No\", \"id\": \"41097\", \"total_measure\": 78.0, \"share_within_group\": 0.18143290122839378}, {\"ever_married\": \"No\", \"id\": \"3590\", \"total_measure\": 57.5, \"share_within_group\": 0.13374861308503389}, {\"ever_married\": \"No\", \"id\": \"8960\", \"total_measure\": 56.0, \"share_within_group\": 0.13025951883064169}, {\"ever_married\": \"No\", \"id\": \"31145\", \"total_measure\": 55.7, \"share_within_group\": 0.12956169997976325}, {\"ever_married\": \"No\", \"id\": \"49277\", \"total_measure\": 55.7, \"share_within_group\": 0.12956169997976325}, {\"ever_married\": \"No\", \"id\": \"6040\", \"total_measure\": 55.0, \"share_within_group\": 0.12793345599438025}, {\"ever_married\": \"No\", \"id\": \"7730\", \"total_measure\": 54.7, \"share_within_group\": 0.1272356371435018}, {\"ever_married\": \"No\", \"id\": \"27660\", \"total_measure\": 54.3, \"share_within_group\": 0.12630521200899722}, {\"ever_married\": \"No\", \"id\": \"4169\", \"total_measure\": 54.2, \"share_within_group\": 0.12607260572537107}, {\"ever_married\": \"No\", \"id\": \"50215\", \"total_measure\": 52.8, \"share_within_group\": 0.12281611775460503}, {\"ever_married\": \"No\", \"id\": \"99\", \"total_measure\": 52.3, \"share_within_group\": 0.1216530863364743}, {\"ever_married\": \"No\", \"id\": \"31360\", \"total_measure\": 51.9, \"share_within_group\": 0.12072266120196971}, {\"ever_married\": \"No\", \"id\": \"66570\", \"total_measure\": 51.0, \"share_within_group\": 0.11862920464933441}, {\"ever_married\": \"No\", \"id\": \"18891\", \"total_measure\": 50.3, \"share_within_group\": 0.11700096066395138}, {\"ever_married\": \"No\", \"id\": \"9335\", \"total_measure\": 49.9, \"share_within_group\": 0.1160705355294468}, {\"ever_married\": \"No\", \"id\": \"18498\", \"total_measure\": 49.8, \"share_within_group\": 0.11583792924582065}, {\"ever_married\": \"No\", \"id\": \"50889\", \"total_measure\": 49.8, \"share_within_group\": 0.11583792924582065}, {\"ever_married\": \"No\", \"id\": \"43088\", \"total_measure\": 49.5, \"share_within_group\": 0.11514011039494221}, {\"ever_married\": \"No\", \"id\": \"3793\", \"total_measure\": 48.8, \"share_within_group\": 0.1135118664095592}, {\"ever_married\": \"No\", \"id\": \"49495\", \"total_measure\": 48.5, \"share_within_group\": 0.11281404755868076}, {\"ever_married\": \"No\", \"id\": \"27145\", \"total_measure\": 48.4, \"share_within_group\": 0.11258144127505461}, {\"ever_married\": \"No\", \"id\": \"21989\", \"total_measure\": 48.3, \"share_within_group\": 0.11234883499142846}, {\"ever_married\": \"No\", \"id\": \"23911\", \"total_measure\": 48.1, \"share_within_group\": 0.11188362242417617}, {\"ever_married\": \"No\", \"id\": \"37608\", \"total_measure\": 47.9, \"share_within_group\": 0.11141840985692388}, {\"ever_married\": \"No\", \"id\": \"22127\", \"total_measure\": 46.9, \"share_within_group\": 0.10909234702066242}, {\"ever_married\": \"No\", \"id\": \"53323\", \"total_measure\": 46.3, \"share_within_group\": 0.10769670931890554}, {\"ever_married\": \"No\", \"id\": \"30248\", \"total_measure\": 46.2, \"share_within_group\": 0.1074641030352794}, {\"ever_married\": \"No\", \"id\": \"63656\", \"total_measure\": 46.0, \"share_within_group\": 0.1069988904680271}, {\"ever_married\": \"No\", \"id\": \"26480\", \"total_measure\": 45.9, \"share_within_group\": 0.10676628418440096}, {\"ever_married\": \"No\", \"id\": \"14444\", \"total_measure\": 45.8, \"share_within_group\": 0.10653367790077481}, {\"ever_married\": \"No\", \"id\": \"20426\", \"total_measure\": 45.7, \"share_within_group\": 0.10630107161714866}, {\"ever_married\": \"No\", \"id\": \"51958\", \"total_measure\": 45.2, \"share_within_group\": 0.10513804019901794}, {\"ever_married\": \"No\", \"id\": \"18605\", \"total_measure\": 44.9, \"share_within_group\": 0.1044402213481395}, {\"ever_married\": \"No\", \"id\": \"4813\", \"total_measure\": 44.7, \"share_within_group\": 0.10397500878088721}, {\"ever_married\": \"No\", \"id\": \"724\", \"total_measure\": 44.7, \"share_within_group\": 0.10397500878088721}, {\"ever_married\": \"No\", \"id\": \"35378\", \"total_measure\": 44.5, \"share_within_group\": 0.10350979621363492}, {\"ever_married\": \"No\", \"id\": \"54776\", \"total_measure\": 44.2, \"share_within_group\": 0.10281197736275648}, {\"ever_married\": \"No\", \"id\": \"60255\", \"total_measure\": 43.6, \"share_within_group\": 0.10141633966099961}, {\"ever_married\": \"No\", \"id\": \"16355\", \"total_measure\": 43.3, \"share_within_group\": 0.10071852081012117}, {\"ever_married\": \"No\", \"id\": \"33308\", \"total_measure\": 43.3, \"share_within_group\": 0.10071852081012117}, {\"ever_married\": \"No\", \"id\": \"47924\", \"total_measure\": 43.2, \"share_within_group\": 0.10048591452649502}, {\"ever_married\": \"No\", \"id\": \"23543\", \"total_measure\": 43.1, \"share_within_group\": 0.10025330824286888}, {\"ever_married\": \"No\", \"id\": \"1577\", \"total_measure\": 43.0, \"share_within_group\": 0.10002070195924273}, {\"ever_married\": \"No\", \"id\": \"34896\", \"total_measure\": 43.0, \"share_within_group\": 0.10002070195924273}, {\"ever_married\": \"No\", \"id\": \"57347\", \"total_measure\": 43.0, \"share_within_group\": 0.10002070195924273}, {\"ever_married\": \"No\", \"id\": \"61000\", \"total_measure\": 42.7, \"share_within_group\": 0.09932288310836429}, {\"ever_married\": \"No\", \"id\": \"38771\", \"total_measure\": 42.4, \"share_within_group\": 0.09862506425748585}, {\"ever_married\": \"No\", \"id\": \"29915\", \"total_measure\": 42.3, \"share_within_group\": 0.0983924579738597}, {\"ever_married\": \"No\", \"id\": \"1737\", \"total_measure\": 42.2, \"share_within_group\": 0.09815985169023356}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 17.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..52c9b175fa9703005a3bceb5f70e1d49980bf86d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:35:31.083250+00:00", + "ended_at": "2026-05-19T15:35:46.130419+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_73f49e4ea98e6e18", + "problem_id": "v2p_m7_51099655572a1b49", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "item_col": "id", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73f49e4ea98e6e18.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_73f49e4ea98e6e18", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 720, + "total_tokens": 15117, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15025.91, + "sql_execution_elapsed_ms_total": 17.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d100038d804ba8985e486bbe35f488f3edd94e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:46.111859+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15025.91, "started_at": "2026-05-19T15:35:31.085176+00:00", "ended_at": "2026-05-19T15:35:46.111121+00:00", "prompt_metrics": {"chars": 8055, "bytes_utf8": 8055, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 688, "bytes_utf8": 688, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 12032, "output_tokens": 720, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ever_married\\\",\\n \\\"id\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL))) OVER (PARTITION BY \\\"ever_married\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"ever_married\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested template with group_col=\\\"ever_married\\\", item_col=\\\"id\\\", and measure_col=\\\"bmi\\\". Because \\\"bmi\\\" is stored as TEXT and may be empty, the query casts non-empty values to REAL and excludes empty strings as missing values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96275a64212c63ba1968da6ec8a984a671d44512 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_73f49e4ea98e6e18", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 12032, + "output_tokens": 720, + "total_tokens": 15117, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15025.91, + "sql_execution_elapsed_ms_total": 17.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_73f49e4ea98e6e18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..67bbe77208983d896388249d4f54a3c285b17e7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "1", "avg_glucose_level": "74.9", "total_measure": 146.0, "share_within_group": 0.4709981289115427}, {"hypertension": "1", "avg_glucose_level": "205.23", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "60.98", "total_measure": 145.0, "share_within_group": 0.46777211432995675}, {"hypertension": "1", "avg_glucose_level": "91.85", "total_measure": 139.0, "share_within_group": 0.4484160268404413}, {"hypertension": "1", "avg_glucose_level": "90.77", "total_measure": 137.0, "share_within_group": 0.4419639976772695}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..330555c33a1c79b4e00465da6854029793410f9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_75942c79a8838eed +-- problem_id: v2p_m7_ef83b28304893d21 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4671474b95c7e9c0b08938bf25eb4c32b83e3eab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"hypertension\", \"avg_glucose_level\",\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"age\", '') AS REAL))) OVER (PARTITION BY \"hypertension\") AS share_within_group\nFROM \"m7\"\nGROUP BY \"hypertension\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"hypertension\\\", \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"hypertension\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"hypertension\", \"avg_glucose_level\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"hypertension\": \"1\", \"avg_glucose_level\": \"74.9\", \"total_measure\": 146.0, \"share_within_group\": 0.4709981289115427}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"205.23\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"60.98\", \"total_measure\": 145.0, \"share_within_group\": 0.46777211432995675}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"91.85\", \"total_measure\": 139.0, \"share_within_group\": 0.4484160268404413}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"90.77\", \"total_measure\": 137.0, \"share_within_group\": 0.4419639976772695}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"109.51\", \"total_measure\": 130.0, \"share_within_group\": 0.4193818956061681}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"78.68\", \"total_measure\": 129.0, \"share_within_group\": 0.41615588102458223}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.04\", \"total_measure\": 124.0, \"share_within_group\": 0.40002580811665267}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"97.06\", \"total_measure\": 121.0, \"share_within_group\": 0.39034776437189495}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"79.79\", \"total_measure\": 118.0, \"share_within_group\": 0.3806697206271372}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"101.56\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"107.21\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.71\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"196.92\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"215.94\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"222.52\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"227.28\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"61.47\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"62.46\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"71.97\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"73.19\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"77.32\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"84.03\", \"total_measure\": 82.0, \"share_within_group\": 0.2645331956900445}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"117.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"126.34\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"164.77\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"174.54\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"181.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.23\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"216.07\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"217.94\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"220.64\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"231.19\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"250.89\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"58.71\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.11\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"59.28\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"74.02\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"80.43\", \"total_measure\": 81.0, \"share_within_group\": 0.26130718110845863}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"103.6\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"114.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"115.52\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"125.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"175.29\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"178.89\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"210.96\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"213.33\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"218\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"232.12\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}, {\"hypertension\": \"1\", \"avg_glucose_level\": \"240.09\", \"total_measure\": 80.0, \"share_within_group\": 0.2580811665268727}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 18.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bbdb9fb2957e0c8350e7dff01814094e2ff7c5cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:38:15.749126+00:00", + "ended_at": "2026-05-19T15:38:28.413922+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_75942c79a8838eed", + "problem_id": "v2p_m7_ef83b28304893d21", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=hypertension, measure_col=age.", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "item_col": "avg_glucose_level", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_75942c79a8838eed.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_75942c79a8838eed", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 663, + "total_tokens": 15060, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12641.93, + "sql_execution_elapsed_ms_total": 18.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4949ab9b7d05e55e460b7a43585cd0a59ec16a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:28.393929+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12641.93, "started_at": "2026-05-19T15:38:15.751212+00:00", "ended_at": "2026-05-19T15:38:28.393173+00:00", "prompt_metrics": {"chars": 8070, "bytes_utf8": 8070, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 662, "bytes_utf8": 662, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 13696, "output_tokens": 663, "reasoning_output_tokens": 483}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"hypertension\\\", \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"hypertension\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with group_col=\\\"hypertension\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". \\\"age\\\" is cast from TEXT to REAL and empty strings are treated as NULL so SQLite can aggregate numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..63f5b8e32720d2ff97086069081ca941a5596fe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_75942c79a8838eed", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 663, + "total_tokens": 15060, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12641.93, + "sql_execution_elapsed_ms_total": 18.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_75942c79a8838eed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d8580e4cf8583a93079fe2544aa81267ad6fa84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=work_type. +Result preview: [{"work_type": "Private", "row_count": 2925}, {"work_type": "Self-employed", "row_count": 819}, {"work_type": "children", "row_count": 687}, {"work_type": "Govt_job", "row_count": 657}, {"work_type": "Never_worked", "row_count": 22}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5de19c67c3dc9653d99fbdf6610cc79ee6e8c840 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_7622198560f1020f +-- problem_id: v2p_m7_e237d7e3881ffc47 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "work_type" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..169ce09929ba80c9ee53eea01c72f7f1be6500b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count.\nSELECT \"work_type\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"work_type\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"work_type\", \"row_count\"], \"rows\": [{\"work_type\": \"Private\", \"row_count\": 2925}, {\"work_type\": \"Self-employed\", \"row_count\": 819}, {\"work_type\": \"children\", \"row_count\": 687}, {\"work_type\": \"Govt_job\", \"row_count\": 657}, {\"work_type\": \"Never_worked\", \"row_count\": 22}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1921861424bb816b8ddedfe618dace70619f2e97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:31:54.104129+00:00", + "ended_at": "2026-05-19T15:32:03.759859+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7622198560f1020f", + "problem_id": "v2p_m7_e237d7e3881ffc47", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=work_type.", + "bindings": { + "group_col": "work_type", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=12" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7622198560f1020f.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7622198560f1020f", + "api_calls": 0, + "input_tokens": 14253, + "cached_input_tokens": 13696, + "output_tokens": 275, + "total_tokens": 14528, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9649.24, + "sql_execution_elapsed_ms_total": 2.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ef60526f6c50632dc83249cc5f6835022ce0c6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:03.755302+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9649.24, "started_at": "2026-05-19T15:31:54.105034+00:00", "ended_at": "2026-05-19T15:32:03.754303+00:00", "prompt_metrics": {"chars": 7573, "bytes_utf8": 7573, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 292, "bytes_utf8": 292, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14253, "cached_input_tokens": 13696, "output_tokens": 275, "reasoning_output_tokens": 190}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"work_type\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the Grouped Count by Category template with group_col bound to \\\"work_type\\\" on the single table \\\"m7\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..90974750f850f2b411856878d1b68383d6d4d38a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7622198560f1020f", + "api_calls": 0, + "input_tokens": 14253, + "cached_input_tokens": 13696, + "output_tokens": 275, + "total_tokens": 14528, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9649.24, + "sql_execution_elapsed_ms_total": 2.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7622198560f1020f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b8aa0f936a81e15968c62b5724f20ca182e245d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"id": "72940"}, {"id": "72918"}, {"id": "72915"}, {"id": "72914"}, {"id": "72911"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..339c2dbd8b41e6d5c95d8f1fdff9f22cc18f7bb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_76a2da6342fdd368 +-- problem_id: v2p_m7_e1c81300c993604c +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "id", + NTILE(10) OVER (ORDER BY CAST("id" AS INTEGER) DESC) AS tail_bucket + FROM "m7" +) +SELECT "id" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("id" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c62131ea1489d4b3ec70a4c9d861d34c990cd66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"id\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS INTEGER) DESC) AS tail_bucket\n FROM \"m7\"\n)\nSELECT \"id\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"id\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS INTEGER) DESC;\", \"columns\": [\"id\"], \"rows\": [{\"id\": \"72940\"}, {\"id\": \"72918\"}, {\"id\": \"72915\"}, {\"id\": \"72914\"}, {\"id\": \"72911\"}, {\"id\": \"72882\"}, {\"id\": \"72867\"}, {\"id\": \"72861\"}, {\"id\": \"72836\"}, {\"id\": \"72824\"}, {\"id\": \"72823\"}, {\"id\": \"72819\"}, {\"id\": \"72818\"}, {\"id\": \"72792\"}, {\"id\": \"72784\"}, {\"id\": \"72779\"}, {\"id\": \"72776\"}, {\"id\": \"72725\"}, {\"id\": \"72715\"}, {\"id\": \"72703\"}, {\"id\": \"72701\"}, {\"id\": \"72696\"}, {\"id\": \"72642\"}, {\"id\": \"72594\"}, {\"id\": \"72562\"}, {\"id\": \"72547\"}, {\"id\": \"72525\"}, {\"id\": \"72514\"}, {\"id\": \"72512\"}, {\"id\": \"72497\"}, {\"id\": \"72491\"}, {\"id\": \"72474\"}, {\"id\": \"72451\"}, {\"id\": \"72450\"}, {\"id\": \"72435\"}, {\"id\": \"72414\"}, {\"id\": \"72398\"}, {\"id\": \"72393\"}, {\"id\": \"72386\"}, {\"id\": \"72369\"}, {\"id\": \"72366\"}, {\"id\": \"72361\"}, {\"id\": \"72354\"}, {\"id\": \"72348\"}, {\"id\": \"72340\"}, {\"id\": \"72337\"}, {\"id\": \"72311\"}, {\"id\": \"72310\"}, {\"id\": \"72289\"}, {\"id\": \"72284\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 8.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..708e70695a3d6542c87f3da1a2a18ace057dd81e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:43:33.802147+00:00", + "ended_at": "2026-05-19T15:43:50.696190+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_76a2da6342fdd368", + "problem_id": "v2p_m7_e1c81300c993604c", + "dataset_id": "m7", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=60" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_76a2da6342fdd368.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_76a2da6342fdd368", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 553, + "total_tokens": 14883, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16880.93, + "sql_execution_elapsed_ms_total": 8.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7cbedf15912a61ee6bbfed1d3ff9f8e94ebec02c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:50.686437+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16880.93, "started_at": "2026-05-19T15:43:33.803697+00:00", "ended_at": "2026-05-19T15:43:50.684678+00:00", "prompt_metrics": {"chars": 7820, "bytes_utf8": 7820, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 466, "bytes_utf8": 466, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14330, "cached_input_tokens": 13696, "output_tokens": 553, "reasoning_output_tokens": 419}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m7\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS INTEGER) DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with NTILE(10) on \\\"m7\\\" and casts \\\"id\\\" to INTEGER so the tail bucket reflects numeric order rather than lexicographic TEXT order.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6f37701daad2fff1fbe1cdc9ce51b0f9deeb8e66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_76a2da6342fdd368", + "api_calls": 0, + "input_tokens": 14330, + "cached_input_tokens": 13696, + "output_tokens": 553, + "total_tokens": 14883, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16880.93, + "sql_execution_elapsed_ms_total": 8.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_76a2da6342fdd368/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3032a1ba4a967f7983a3eef04b9880cac456d5a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_77486b3268980bbe +-- problem_id: v2p_m7_180324888122430f +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "Residence_type" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4a5c78fc5bad2b150c713e9ed2e5edc26a223b2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"Residence_type\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Residence_type\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Residence_type\", \"row_count\"], \"rows\": [{\"Residence_type\": \"Urban\", \"row_count\": 2596}, {\"Residence_type\": \"Rural\", \"row_count\": 2514}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c7a179c4a449543984fdf5c5841c49715061ffbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_77486b3268980bbe", + "api_calls": 0, + "input_tokens": 14252, + "cached_input_tokens": 12032, + "output_tokens": 465, + "total_tokens": 14717, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13720.96, + "sql_execution_elapsed_ms_total": 1.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_77486b3268980bbe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..53b4a3bae2c8a9fc891c5408807c12c52fc59680 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ever_married, measure_col=bmi. +Result preview: [{"ever_married": "Yes", "total_measure": 98845.8}, {"ever_married": "No", "total_measure": 42991.1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..96ed354983e80e63c62053691ea0edde6d1eb73b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_7e90a580f56dd36c +-- problem_id: v2p_m7_05ca8a7aa466a2c1 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd1c309ca9fc02b9d94f6d51a21337df6f2135a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"ever_married\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ever_married\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"ever_married\", \"total_measure\"], \"rows\": [{\"ever_married\": \"Yes\", \"total_measure\": 98845.8}, {\"ever_married\": \"No\", \"total_measure\": 42991.1}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.4}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..472961a633ffce624fe6089eb25fe6d5bc87581a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:29:17.441371+00:00", + "ended_at": "2026-05-19T15:29:27.320011+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7e90a580f56dd36c", + "problem_id": "v2p_m7_05ca8a7aa466a2c1", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ever_married, measure_col=bmi.", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7e90a580f56dd36c.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7e90a580f56dd36c", + "api_calls": 0, + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 360, + "total_tokens": 14640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9872.14, + "sql_execution_elapsed_ms_total": 2.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66c8983df6198da44a423440a5a62b21cc6b9573 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:27.316277+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9872.14, "started_at": "2026-05-19T15:29:17.443335+00:00", "ended_at": "2026-05-19T15:29:27.315506+00:00", "prompt_metrics": {"chars": 7655, "bytes_utf8": 7655, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14280, "cached_input_tokens": 12032, "output_tokens": 360, "reasoning_output_tokens": 239}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ever_married\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the required grouped-sum template with group_col=\\\"ever_married\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, NULLIF plus CAST to REAL makes the aggregation SQLite-safe.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b83a99869e83b2361ee03bc21cc193e758173259 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7e90a580f56dd36c", + "api_calls": 0, + "input_tokens": 14280, + "cached_input_tokens": 12032, + "output_tokens": 360, + "total_tokens": 14640, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9872.14, + "sql_execution_elapsed_ms_total": 2.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7e90a580f56dd36c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c114ea1f60190731c7a15a6bfa8cbbfb863c736d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "never smoked", "total_measure": 203499.91}, {"smoking_status": "Unknown", "total_measure": 153784.78}, {"smoking_status": "formerly smoked", "total_measure": 99904.18}, {"smoking_status": "smokes", "total_measure": 85225.76}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb4e71ee4c8f41c7e7245dc35aaea02f4ae19d53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_7f04ae26676599ae +-- problem_id: v2p_m7_6d2abf693c111527 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "smoking_status" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..82329b9bc1397714d9f012dc251ee09a263883fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum.\nSELECT \"smoking_status\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"smoking_status\", \"total_measure\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"total_measure\": 203499.91}, {\"smoking_status\": \"Unknown\", \"total_measure\": 153784.78}, {\"smoking_status\": \"formerly smoked\", \"total_measure\": 99904.18}, {\"smoking_status\": \"smokes\", \"total_measure\": 85225.76}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ba48a981df5498622e76236f64df83c7553f6835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:30:53.607408+00:00", + "ended_at": "2026-05-19T15:31:09.553035+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7f04ae26676599ae", + "problem_id": "v2p_m7_6d2abf693c111527", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f04ae26676599ae.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7f04ae26676599ae", + "api_calls": 0, + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 435, + "total_tokens": 14721, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15939.09, + "sql_execution_elapsed_ms_total": 2.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..54695092b35a414c3b90bdaff527b3c70a255fdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:09.548950+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15939.09, "started_at": "2026-05-19T15:30:53.609109+00:00", "ended_at": "2026-05-19T15:31:09.548236+00:00", "prompt_metrics": {"chars": 7693, "bytes_utf8": 7693, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14286, "cached_input_tokens": 12032, "output_tokens": 435, "reasoning_output_tokens": 315}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". The measure is cast from TEXT to REAL and empty strings are treated as NULL for SQLite-safe numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..994db8f6d6156df2dd536f2cf287ec1df8fdda3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7f04ae26676599ae", + "api_calls": 0, + "input_tokens": 14286, + "cached_input_tokens": 12032, + "output_tokens": 435, + "total_tokens": 14721, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15939.09, + "sql_execution_elapsed_ms_total": 2.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7f04ae26676599ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b1c3f267758522e381ffc1b012697869ab48d28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "group_value": 2994}, {"gender": "Male", "group_value": 2115}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7e63f1efe200b2e820653d9b5f145ff90edc38f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_7ffb11e94207ec02 +-- problem_id: v2p_m7_ed6f895ccb489826 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", COUNT("id") AS group_value + FROM "m7" + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c03d2172a07a2afcacbf3b6ddbe4e6fffd34ca81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"gender\", COUNT(\"id\") AS group_value\n FROM \"m7\"\n GROUP BY \"gender\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"gender\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"gender\\\", COUNT(\\\"id\\\") AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"gender\", \"group_value\"], \"rows\": [{\"gender\": \"Female\", \"group_value\": 2994}, {\"gender\": \"Male\", \"group_value\": 2115}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7f25ab06950cd5daa157a8ea5477f42fb796367e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:45:53.377690+00:00", + "ended_at": "2026-05-19T15:46:10.723498+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_7ffb11e94207ec02", + "problem_id": "v2p_m7_ed6f895ccb489826", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7ffb11e94207ec02.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7ffb11e94207ec02", + "api_calls": 0, + "input_tokens": 14411, + "cached_input_tokens": 12032, + "output_tokens": 848, + "total_tokens": 15259, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17336.24, + "sql_execution_elapsed_ms_total": 4.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..060d0d09487209bc16428d5c4065705d93eb5f03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:10.716651+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17336.24, "started_at": "2026-05-19T15:45:53.378820+00:00", "ended_at": "2026-05-19T15:46:10.715092+00:00", "prompt_metrics": {"chars": 8199, "bytes_utf8": 8199, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 631, "bytes_utf8": 631, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14411, "cached_input_tokens": 12032, "output_tokens": 848, "reasoning_output_tokens": 685}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"gender\\\", COUNT(\\\"id\\\") AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gender\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned threshold template with group_col=\\\"gender\\\". COUNT(\\\"id\\\") is used for the count_distribution probe because \\\"id\\\" is an identifier-like field and summing it would not match the intended semantics.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7e96adaf5da33dd51b825f1d2c4e35ccec8afcf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_7ffb11e94207ec02", + "api_calls": 0, + "input_tokens": 14411, + "cached_input_tokens": 12032, + "output_tokens": 848, + "total_tokens": 15259, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17336.24, + "sql_execution_elapsed_ms_total": 4.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_7ffb11e94207ec02/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..357348139f63ef6ea8e4cd3bff13e3d641f86fec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "0", "total_measure": 135468.4}, {"stroke": "1", "total_measure": 6368.5}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fbf7a6d14e090f56f62a19f105d2132d0a09be00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_8365ac699e415bc8 +-- problem_id: v2p_m7_a5f0a8b9a22a62c7 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "stroke" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..301bd07ca8beed30825889bebd2f32757cab27ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"stroke\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS \"total_measure\"\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"stroke\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"stroke\", \"total_measure\"], \"rows\": [{\"stroke\": \"0\", \"total_measure\": 135468.4}, {\"stroke\": \"1\", \"total_measure\": 6368.5}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dbbfc3f6e678c87cd0ec07c8f34b4d4ae89c8f18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:31:09.553566+00:00", + "ended_at": "2026-05-19T15:31:19.689786+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_8365ac699e415bc8", + "problem_id": "v2p_m7_a5f0a8b9a22a62c7", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=stroke, measure_col=bmi.", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_8365ac699e415bc8.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_8365ac699e415bc8", + "api_calls": 0, + "input_tokens": 14276, + "cached_input_tokens": 13696, + "output_tokens": 382, + "total_tokens": 14658, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10129.04, + "sql_execution_elapsed_ms_total": 2.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c533778ff426c389a1409991ddb5d689132174cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:19.685544+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10129.04, "started_at": "2026-05-19T15:31:09.554654+00:00", "ended_at": "2026-05-19T15:31:19.683730+00:00", "prompt_metrics": {"chars": 7643, "bytes_utf8": 7643, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 448, "bytes_utf8": 448, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14276, "cached_input_tokens": 13696, "output_tokens": 382, "reasoning_output_tokens": 259}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"stroke\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, NULLIF(..., '') excludes missing values and CAST(... AS REAL) makes the sum SQLite-compatible.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e18ac415d1f4934313e9ebdb52264d8f29cfada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_8365ac699e415bc8", + "api_calls": 0, + "input_tokens": 14276, + "cached_input_tokens": 13696, + "output_tokens": 382, + "total_tokens": 14658, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10129.04, + "sql_execution_elapsed_ms_total": 2.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8365ac699e415bc8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c70d91f5e4815eeaaf5f1a86613078150288965b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4612, "support_share": 0.9025440313111546, "cumulative_support": 4612}, {"value_label": "1", "support": 498, "support_share": 0.0974559686888454, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a60853d08c48865bf6fc5f4b4c79e83496f63d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_86e39084e1c4012b +-- problem_id: v2p_m7_eea2bf9a3ad1daee +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "hypertension" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "hypertension" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1908b4926a0b924a1fe1a742981a6272a3012636 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_86e39084e1c4012b\n-- problem_id: v2p_m7_eea2bf9a3ad1daee\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"hypertension\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"hypertension\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_86e39084e1c4012b\\n-- problem_id: v2p_m7_eea2bf9a3ad1daee\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"hypertension\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"hypertension\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4612, \"support_share\": 0.9025440313111546, \"cumulative_support\": 4612}, {\"value_label\": \"1\", \"support\": 498, \"support_share\": 0.0974559686888454, \"cumulative_support\": 5110}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1412a56aac5c679c0d053402719a6c851323154a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.862709+00:00", + "ended_at": "2026-05-19T16:09:16.864791+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_86e39084e1c4012b", + "problem_id": "v2p_m7_eea2bf9a3ad1daee", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=hypertension.", + "bindings": { + "group_col": "hypertension" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_86e39084e1c4012b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_86e39084e1c4012b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ad1bfc301bd45d0e1b5022695a4e55a43a899ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4861, "support_share": 0.9512720156555773, "cumulative_support": 4861}, {"value_label": "1", "support": 249, "support_share": 0.0487279843444227, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2de05e2d295c6d1613583c29224581425ea3c341 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_874c61f1eafedb94 +-- problem_id: v2p_m7_09bba0692127206b +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "stroke" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "stroke" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96df436e991971c8ae3b201d55f5898dd1f765d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_874c61f1eafedb94\n-- problem_id: v2p_m7_09bba0692127206b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"stroke\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"stroke\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_874c61f1eafedb94\\n-- problem_id: v2p_m7_09bba0692127206b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"stroke\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4861, \"support_share\": 0.9512720156555773, \"cumulative_support\": 4861}, {\"value_label\": \"1\", \"support\": 249, \"support_share\": 0.0487279843444227, \"cumulative_support\": 5110}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..31898edc29df38ce319c7919215bef30e1b1d82e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.878687+00:00", + "ended_at": "2026-05-19T16:09:16.880614+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_874c61f1eafedb94", + "problem_id": "v2p_m7_09bba0692127206b", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=stroke.", + "bindings": { + "group_col": "stroke" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_874c61f1eafedb94.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_874c61f1eafedb94/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..68fc392832e8c8daa9eeefd2a52eb06edfd9a8bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Residence_type": "Urban", "total_rows": 2596, "missing_rows": 0, "missing_rate": 0.0}, {"Residence_type": "Rural", "total_rows": 2514, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b929edb27a929796eaa51756c22c76f966e33144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_880913e3feadda72 +-- problem_id: v2p_m7_1cf739ace75606d9 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Residence_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "Residence_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64742c7e428da2d8e1d21a7be03333a50a64a7ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_880913e3feadda72\n-- problem_id: v2p_m7_1cf739ace75606d9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Residence_type\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_880913e3feadda72\\n-- problem_id: v2p_m7_1cf739ace75606d9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Residence_type\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"Residence_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"Residence_type\": \"Urban\", \"total_rows\": 2596, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"Residence_type\": \"Rural\", \"total_rows\": 2514, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bb262508644b4a1d85c63d5f19be495c17508832 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.825980+00:00", + "ended_at": "2026-05-19T16:09:16.828616+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_880913e3feadda72", + "problem_id": "v2p_m7_1cf739ace75606d9", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=Residence_type, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "Residence_type" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_880913e3feadda72.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_880913e3feadda72/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..78d79f0c17cb931636ceef61026a02a559fde57e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:04:58.258588+00:00", + "ended_at": "2026-05-19T16:05:08.224289+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_8b3069f2b032cf0b", + "problem_id": "v2p_m7_2fe371ea8b40b631", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=heart_disease.", + "bindings": { + "group_col": "heart_disease", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b856917069a6cc76b9adaa57fd864771624c9801 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8b3069f2b032cf0b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:01.757103+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3496.63, "started_at": "2026-05-19T16:04:58.259681+00:00", "ended_at": "2026-05-19T16:05:01.756339+00:00", "prompt_metrics": {"chars": 7659, "bytes_utf8": 7659, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-b625-7eb2-823f-8ca9fbc6a65b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:08.224206+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 5465.26, "started_at": "2026-05-19T16:05:02.758206+00:00", "ended_at": "2026-05-19T16:05:08.223506+00:00", "prompt_metrics": {"chars": 7659, "bytes_utf8": 7659, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-c7c2-7883-86e7-a040973b5ece\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d2061b22f1dc9b43650d8541cd748ef944271fd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:06:25.383255+00:00", + "ended_at": "2026-05-19T16:06:32.964793+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_8f6592ace9a49fb8", + "problem_id": "v2p_m7_d38ff68ba375b25c", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=stroke.", + "bindings": { + "group_col": "stroke", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8621b8a75fc502f469f6980786b51c6870df38f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_8f6592ace9a49fb8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:28.565704+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3180.44, "started_at": "2026-05-19T16:06:25.384491+00:00", "ended_at": "2026-05-19T16:06:28.564952+00:00", "prompt_metrics": {"chars": 7643, "bytes_utf8": 7643, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-0a60-7fa1-a7d8-ad93a7ba6eef\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:32.964708+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3396.68, "started_at": "2026-05-19T16:06:29.567235+00:00", "ended_at": "2026-05-19T16:06:32.963962+00:00", "prompt_metrics": {"chars": 7643, "bytes_utf8": 7643, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-1ae7-7583-9a6a-94f811c3fb53\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2d9f81fb08580782de534e8e848c84f161b9779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=ever_married, group_col_2=stroke. +Result preview: [{"ever_married": "Yes", "stroke": "0", "row_count": 1252}, {"ever_married": "No", "stroke": "0", "row_count": 755}, {"ever_married": "Yes", "stroke": "1", "row_count": 100}, {"ever_married": "No", "stroke": "1", "row_count": 8}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c8e98b3aa4c5027d41401b8a5c9778b0509b1617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_9181d7c509074735 +-- problem_id: v2p_m7_0efa0063a7ff142b +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", "stroke", COUNT(*) AS "row_count" +FROM "m7" +WHERE "gender" = 'Male' +GROUP BY "ever_married", "stroke" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d2df84e9a74ee75383b29874ec2dee14270f43c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"ever_married\", \"stroke\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nWHERE \"gender\" = 'Male'\nGROUP BY \"ever_married\", \"stroke\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"ever_married\\\", \\\"stroke\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nWHERE \\\"gender\\\" = 'Male'\\nGROUP BY \\\"ever_married\\\", \\\"stroke\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"ever_married\", \"stroke\", \"row_count\"], \"rows\": [{\"ever_married\": \"Yes\", \"stroke\": \"0\", \"row_count\": 1252}, {\"ever_married\": \"No\", \"stroke\": \"0\", \"row_count\": 755}, {\"ever_married\": \"Yes\", \"stroke\": \"1\", \"row_count\": 100}, {\"ever_married\": \"No\", \"stroke\": \"1\", \"row_count\": 8}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..27df8990fb98a9772dd70cc1d7df13fbb6c881fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:41:18.570912+00:00", + "ended_at": "2026-05-19T15:41:39.318439+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_9181d7c509074735", + "problem_id": "v2p_m7_0efa0063a7ff142b", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=ever_married, group_col_2=stroke.", + "bindings": { + "group_col": "ever_married", + "group_col_2": "stroke", + "predicate_col": "gender", + "predicate_op": "=", + "predicate_value": "Male", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9181d7c509074735.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9181d7c509074735", + "api_calls": 0, + "input_tokens": 14370, + "cached_input_tokens": 13696, + "output_tokens": 352, + "total_tokens": 14722, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20739.67, + "sql_execution_elapsed_ms_total": 2.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bd3d0182c498e74f784942933cf2e8e97136ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:39.314137+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20739.67, "started_at": "2026-05-19T15:41:18.573377+00:00", "ended_at": "2026-05-19T15:41:39.313094+00:00", "prompt_metrics": {"chars": 7971, "bytes_utf8": 7971, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14370, "cached_input_tokens": 13696, "output_tokens": 352, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"ever_married\\\", \\\"stroke\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nWHERE \\\"gender\\\" = 'Male'\\nGROUP BY \\\"ever_married\\\", \\\"stroke\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template on table \\\"m7\\\", grouping by \\\"ever_married\\\" and \\\"stroke\\\" for rows where \\\"gender\\\" = 'Male'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fe3dadf8aa849ecd693fa08e5e8a19f5210adb2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9181d7c509074735", + "api_calls": 0, + "input_tokens": 14370, + "cached_input_tokens": 13696, + "output_tokens": 352, + "total_tokens": 14722, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20739.67, + "sql_execution_elapsed_ms_total": 2.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9181d7c509074735/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b78f6ae61438d7c268dd227b2769a72359444315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "1", "id": "41069", "total_measure": 56.6, "share_within_group": 0.8887493130250451}, {"stroke": "1", "id": "13861", "total_measure": 48.9, "share_within_group": 0.7678417209704012}, {"stroke": "1", "id": "17004", "total_measure": 47.5, "share_within_group": 0.7458585224150114}, {"stroke": "1", "id": "24905", "total_measure": 46.0, "share_within_group": 0.7223050953913794}, {"stroke": "1", "id": "42117", "total_measure": 45.9, "share_within_group": 0.7207348669231373}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f486e32d235761eafe071a253cec05a07ca06715 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_924b721995c76fbf +-- problem_id: v2p_m7_62a96c313dcde8d8 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "stroke") AS share_within_group +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL +GROUP BY "stroke", "id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a70b10790093935541e7d04bf871cc55d4431520 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"stroke\", \"id\",\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"bmi\", '') AS REAL))) OVER (PARTITION BY \"stroke\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"bmi\", '') IS NOT NULL\nGROUP BY \"stroke\", \"id\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"stroke\\\", \\\"id\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL))) OVER (PARTITION BY \\\"stroke\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"stroke\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"stroke\", \"id\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"stroke\": \"1\", \"id\": \"41069\", \"total_measure\": 56.6, \"share_within_group\": 0.8887493130250451}, {\"stroke\": \"1\", \"id\": \"13861\", \"total_measure\": 48.9, \"share_within_group\": 0.7678417209704012}, {\"stroke\": \"1\", \"id\": \"17004\", \"total_measure\": 47.5, \"share_within_group\": 0.7458585224150114}, {\"stroke\": \"1\", \"id\": \"24905\", \"total_measure\": 46.0, \"share_within_group\": 0.7223050953913794}, {\"stroke\": \"1\", \"id\": \"42117\", \"total_measure\": 45.9, \"share_within_group\": 0.7207348669231373}, {\"stroke\": \"1\", \"id\": \"20426\", \"total_measure\": 45.7, \"share_within_group\": 0.717594409986653}, {\"stroke\": \"1\", \"id\": \"58267\", \"total_measure\": 45.5, \"share_within_group\": 0.7144539530501688}, {\"stroke\": \"1\", \"id\": \"62466\", \"total_measure\": 45.0, \"share_within_group\": 0.7066028107089581}, {\"stroke\": \"1\", \"id\": \"43717\", \"total_measure\": 44.2, \"share_within_group\": 0.6940409829630211}, {\"stroke\": \"1\", \"id\": \"57419\", \"total_measure\": 44.1, \"share_within_group\": 0.692470754494779}, {\"stroke\": \"1\", \"id\": \"66071\", \"total_measure\": 42.5, \"share_within_group\": 0.6673470990029049}, {\"stroke\": \"1\", \"id\": \"45535\", \"total_measure\": 42.4, \"share_within_group\": 0.6657768705346628}, {\"stroke\": \"1\", \"id\": \"12689\", \"total_measure\": 42.2, \"share_within_group\": 0.6626364135981785}, {\"stroke\": \"1\", \"id\": \"59125\", \"total_measure\": 41.5, \"share_within_group\": 0.6516448143204836}, {\"stroke\": \"1\", \"id\": \"14499\", \"total_measure\": 41.1, \"share_within_group\": 0.6453639004475151}, {\"stroke\": \"1\", \"id\": \"40460\", \"total_measure\": 40.5, \"share_within_group\": 0.6359425296380623}, {\"stroke\": \"1\", \"id\": \"10710\", \"total_measure\": 40.4, \"share_within_group\": 0.6343723011698202}, {\"stroke\": \"1\", \"id\": \"12062\", \"total_measure\": 40.4, \"share_within_group\": 0.6343723011698202}, {\"stroke\": \"1\", \"id\": \"29552\", \"total_measure\": 40.0, \"share_within_group\": 0.6280913872968517}, {\"stroke\": \"1\", \"id\": \"1210\", \"total_measure\": 39.3, \"share_within_group\": 0.6170997880191568}, {\"stroke\": \"1\", \"id\": \"36338\", \"total_measure\": 39.2, \"share_within_group\": 0.6155295595509147}, {\"stroke\": \"1\", \"id\": \"71279\", \"total_measure\": 38.7, \"share_within_group\": 0.6076784172097041}, {\"stroke\": \"1\", \"id\": \"47472\", \"total_measure\": 38.6, \"share_within_group\": 0.6061081887414619}, {\"stroke\": \"1\", \"id\": \"27458\", \"total_measure\": 37.8, \"share_within_group\": 0.5935463609955248}, {\"stroke\": \"1\", \"id\": \"56112\", \"total_measure\": 37.5, \"share_within_group\": 0.5888356755907984}, {\"stroke\": \"1\", \"id\": \"66315\", \"total_measure\": 37.5, \"share_within_group\": 0.5888356755907984}, {\"stroke\": \"1\", \"id\": \"28378\", \"total_measure\": 37.4, \"share_within_group\": 0.5872654471225563}, {\"stroke\": \"1\", \"id\": \"59437\", \"total_measure\": 37.3, \"share_within_group\": 0.5856952186543142}, {\"stroke\": \"1\", \"id\": \"14431\", \"total_measure\": 37.1, \"share_within_group\": 0.5825547617178299}, {\"stroke\": \"1\", \"id\": \"24669\", \"total_measure\": 36.9, \"share_within_group\": 0.5794143047813457}, {\"stroke\": \"1\", \"id\": \"12095\", \"total_measure\": 36.8, \"share_within_group\": 0.5778440763131035}, {\"stroke\": \"1\", \"id\": \"37651\", \"total_measure\": 36.8, \"share_within_group\": 0.5778440763131035}, {\"stroke\": \"1\", \"id\": \"17739\", \"total_measure\": 36.7, \"share_within_group\": 0.5762738478448615}, {\"stroke\": \"1\", \"id\": \"9046\", \"total_measure\": 36.6, \"share_within_group\": 0.5747036193766193}, {\"stroke\": \"1\", \"id\": \"25831\", \"total_measure\": 36.5, \"share_within_group\": 0.5731333909083771}, {\"stroke\": \"1\", \"id\": \"53440\", \"total_measure\": 36.5, \"share_within_group\": 0.5731333909083771}, {\"stroke\": \"1\", \"id\": \"69551\", \"total_measure\": 36.5, \"share_within_group\": 0.5731333909083771}, {\"stroke\": \"1\", \"id\": \"32221\", \"total_measure\": 35.9, \"share_within_group\": 0.5637120200989244}, {\"stroke\": \"1\", \"id\": \"44033\", \"total_measure\": 35.8, \"share_within_group\": 0.5621417916306822}, {\"stroke\": \"1\", \"id\": \"64373\", \"total_measure\": 35.8, \"share_within_group\": 0.5621417916306822}, {\"stroke\": \"1\", \"id\": \"36255\", \"total_measure\": 35.5, \"share_within_group\": 0.5574311062259559}, {\"stroke\": \"1\", \"id\": \"69959\", \"total_measure\": 35.4, \"share_within_group\": 0.5558608777577138}, {\"stroke\": \"1\", \"id\": \"11762\", \"total_measure\": 34.9, \"share_within_group\": 0.5480097354165031}, {\"stroke\": \"1\", \"id\": \"45277\", \"total_measure\": 34.6, \"share_within_group\": 0.5432990500117767}, {\"stroke\": \"1\", \"id\": \"16077\", \"total_measure\": 34.5, \"share_within_group\": 0.5417288215435346}, {\"stroke\": \"1\", \"id\": \"52282\", \"total_measure\": 34.5, \"share_within_group\": 0.5417288215435346}, {\"stroke\": \"1\", \"id\": \"60182\", \"total_measure\": 34.4, \"share_within_group\": 0.5401585930752925}, {\"stroke\": \"1\", \"id\": \"68356\", \"total_measure\": 34.4, \"share_within_group\": 0.5401585930752925}, {\"stroke\": \"1\", \"id\": \"3512\", \"total_measure\": 34.2, \"share_within_group\": 0.5370181361388082}, {\"stroke\": \"1\", \"id\": \"32503\", \"total_measure\": 34.1, \"share_within_group\": 0.535447907670566}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 40.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6e52514d4398e2240e8132f7d019090c34295d52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:37:25.751343+00:00", + "ended_at": "2026-05-19T15:37:37.465066+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_924b721995c76fbf", + "problem_id": "v2p_m7_62a96c313dcde8d8", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=stroke, measure_col=bmi.", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "item_col": "id", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_924b721995c76fbf.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_924b721995c76fbf", + "api_calls": 0, + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 493, + "total_tokens": 14886, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11667.9, + "sql_execution_elapsed_ms_total": 40.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..802f81d459cb490b6c73f27aa061f3851633afe8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:37.421813+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11667.9, "started_at": "2026-05-19T15:37:25.752328+00:00", "ended_at": "2026-05-19T15:37:37.420265+00:00", "prompt_metrics": {"chars": 8043, "bytes_utf8": 8043, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 684, "bytes_utf8": 684, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14393, "cached_input_tokens": 13696, "output_tokens": 493, "reasoning_output_tokens": 299}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"stroke\\\", \\\"id\\\",\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL))) OVER (PARTITION BY \\\"stroke\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"bmi\\\", '') IS NOT NULL\\nGROUP BY \\\"stroke\\\", \\\"id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template bindings with group_col=\\\"stroke\\\", item_col=\\\"id\\\", and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may be blank, NULLIF plus CAST(... AS REAL) makes the aggregation SQLite-compatible and ignores missing BMI values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..18e8c2ee7ce9038b119be5e02b75070b49f725c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_924b721995c76fbf", + "api_calls": 0, + "input_tokens": 14393, + "cached_input_tokens": 13696, + "output_tokens": 493, + "total_tokens": 14886, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11667.9, + "sql_execution_elapsed_ms_total": 40.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_924b721995c76fbf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e439bbd9f0026ce4249f26e39a52b78cbf22aba3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:10.965010+00:00", + "ended_at": "2026-05-19T16:08:18.694059+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_92e29c9d93e6a840", + "problem_id": "v2p_m7_6dae586b0b8d5d4f", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=hypertension, measure_col=age.", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae3aa1051c15d364c614aa32f98685a272cb7418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_92e29c9d93e6a840/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:14.376809+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3409.54, "started_at": "2026-05-19T16:08:10.966375+00:00", "ended_at": "2026-05-19T16:08:14.375947+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-a6d0-77f2-8fb9-4427dc89cf83\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:18.693903+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3314.4, "started_at": "2026-05-19T16:08:15.378292+00:00", "ended_at": "2026-05-19T16:08:18.692743+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-b80b-7441-9004-4e4e946967fb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..97908a7a9e100c390e2832d33f7553c941f8672d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, condition_col=gender. +Result preview: [{"gender": "Male", "condition_rate": 1.0}, {"gender": "Other", "condition_rate": 0.0}, {"gender": "Female", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..98f97d1101bda740c6ad4c3cf4567d4db3e36b1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_958125921e16eb7f +-- problem_id: v2p_m7_df00d575f0b9edb1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + AVG(CASE WHEN "gender" = 'Male' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..63b7ed62b7925f026956821ec6e8ba17462c634d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT\n \"gender\",\n AVG(CASE WHEN \"gender\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"gender\", \"condition_rate\"], \"rows\": [{\"gender\": \"Male\", \"condition_rate\": 1.0}, {\"gender\": \"Other\", \"condition_rate\": 0.0}, {\"gender\": \"Female\", \"condition_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ebf481c801120278c30a2abc078116d264e9f337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:59:12.037109+00:00", + "ended_at": "2026-05-19T15:59:25.936729+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_958125921e16eb7f", + "problem_id": "v2p_m7_df00d575f0b9edb1", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, condition_col=gender.", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Male", + "positive_value": "Female", + "negative_value": "Male", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_958125921e16eb7f.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_958125921e16eb7f", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 14739, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12889.75, + "sql_execution_elapsed_ms_total": 2.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d855ceb5fd19798deae909c2b43d102e458e5b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:15.483615+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3444.6, "started_at": "2026-05-19T15:59:12.038273+00:00", "ended_at": "2026-05-19T15:59:15.482896+00:00", "prompt_metrics": {"chars": 7911, "bytes_utf8": 7911, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-6dc3-78f0-b9ce-aa0d1d1947d8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:59:25.931659+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9445.15, "started_at": "2026-05-19T15:59:16.485353+00:00", "ended_at": "2026-05-19T15:59:25.930541+00:00", "prompt_metrics": {"chars": 7911, "bytes_utf8": 7911, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 487, "bytes_utf8": 487, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14337, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 265}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Male' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col=\\\"gender\\\" and condition_col=\\\"gender\\\". Because the grouping column and condition column are the same, the resulting rate is 1.0 for the Male group and 0.0 for non-Male gender groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8710a82f2eee8b4b19bb4673c6f41c5088190c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_958125921e16eb7f", + "api_calls": 0, + "input_tokens": 14337, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 14739, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12889.75, + "sql_execution_elapsed_ms_total": 2.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_958125921e16eb7f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": []} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2712d0fb5ced806da532063d4cb2e1748c263be0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_968dac0449e93ff8 +-- problem_id: v2p_m7_6d77fe7dd0b70ac8 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "id", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m7" +GROUP BY "id" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd698fff5ceb8911291a6ad9044d80e4c1f21e16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_968dac0449e93ff8\n-- problem_id: v2p_m7_6d77fe7dd0b70ac8\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"id\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m7\"\nGROUP BY \"id\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_968dac0449e93ff8\\n-- problem_id: v2p_m7_6d77fe7dd0b70ac8\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"id\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"id\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"id\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..99d76080f38bc1277dd247a0dedcf225c61dc0b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.902191+00:00", + "ended_at": "2026-05-19T16:09:16.906083+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_968dac0449e93ff8", + "problem_id": "v2p_m7_6d77fe7dd0b70ac8", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=id.", + "bindings": { + "key_col": "id", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_968dac0449e93ff8.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_968dac0449e93ff8/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..14aa0b5e0cfb5754a3cb21c2593ba31cda588561 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=smoking_status, group_col_2=stroke. +Result preview: [{"smoking_status": "never smoked", "stroke": "0", "row_count": 917}, {"smoking_status": "Unknown", "stroke": "0", "row_count": 744}, {"smoking_status": "formerly smoked", "stroke": "0", "row_count": 394}, {"smoking_status": "smokes", "stroke": "0", "row_count": 345}, {"smoking_status": "never smoked", "stroke": "1", "row_count": 44}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..647c763a719d5af9791db479bff1dfea3b1eac38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_97f43592de64afc7 +-- problem_id: v2p_m7_fc479e71a7c76e68 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", "stroke", COUNT(*) AS row_count +FROM "m7" +WHERE "Residence_type" = 'Rural' +GROUP BY "smoking_status", "stroke" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..226292ed657bc450683b906fa52c8d54e35fa203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"smoking_status\", \"stroke\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE \"Residence_type\" = 'Rural'\nGROUP BY \"smoking_status\", \"stroke\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"smoking_status\\\", \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"Residence_type\\\" = 'Rural'\\nGROUP BY \\\"smoking_status\\\", \\\"stroke\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"smoking_status\", \"stroke\", \"row_count\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"stroke\": \"0\", \"row_count\": 917}, {\"smoking_status\": \"Unknown\", \"stroke\": \"0\", \"row_count\": 744}, {\"smoking_status\": \"formerly smoked\", \"stroke\": \"0\", \"row_count\": 394}, {\"smoking_status\": \"smokes\", \"stroke\": \"0\", \"row_count\": 345}, {\"smoking_status\": \"never smoked\", \"stroke\": \"1\", \"row_count\": 44}, {\"smoking_status\": \"formerly smoked\", \"stroke\": \"1\", \"row_count\": 34}, {\"smoking_status\": \"Unknown\", \"stroke\": \"1\", \"row_count\": 18}, {\"smoking_status\": \"smokes\", \"stroke\": \"1\", \"row_count\": 18}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..267dd57b5e154915f51c4bfa3b66346ee2cd47d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:43:14.823468+00:00", + "ended_at": "2026-05-19T15:43:22.707720+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_97f43592de64afc7", + "problem_id": "v2p_m7_fc479e71a7c76e68", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=smoking_status, group_col_2=stroke.", + "bindings": { + "group_col": "smoking_status", + "group_col_2": "stroke", + "predicate_col": "Residence_type", + "predicate_op": "=", + "predicate_value": "Rural", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=55" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_97f43592de64afc7.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_97f43592de64afc7", + "api_calls": 0, + "input_tokens": 14372, + "cached_input_tokens": 13696, + "output_tokens": 275, + "total_tokens": 14647, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7876.54, + "sql_execution_elapsed_ms_total": 2.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f74248dcef69b13949d7086b6c1ba6955586e65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:22.703371+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7876.54, "started_at": "2026-05-19T15:43:14.825772+00:00", "ended_at": "2026-05-19T15:43:22.702361+00:00", "prompt_metrics": {"chars": 7984, "bytes_utf8": 7984, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14372, "cached_input_tokens": 13696, "output_tokens": 275, "reasoning_output_tokens": 165}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"smoking_status\\\", \\\"stroke\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE \\\"Residence_type\\\" = 'Rural'\\nGROUP BY \\\"smoking_status\\\", \\\"stroke\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with group_col=\\\"smoking_status\\\", group_col_2=\\\"stroke\\\", and predicate Residence_type = 'Rural'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4267ce55e9c3baf7c5e96114c66e4515ddf07229 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_97f43592de64afc7", + "api_calls": 0, + "input_tokens": 14372, + "cached_input_tokens": 13696, + "output_tokens": 275, + "total_tokens": 14647, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7876.54, + "sql_execution_elapsed_ms_total": 2.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_97f43592de64afc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee5da75960729b57006176ea6ef31481a1dafa6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Other", "age": "26", "total_measure": 56156.0, "share_within_group": 100.0}, {"gender": "Female", "age": "78", "total_measure": 2376968.0, "share_within_group": 2.1763085038765317}, {"gender": "Female", "age": "45", "total_measure": 2282593.0, "share_within_group": 2.089900476905471}, {"gender": "Male", "age": "53", "total_measure": 1602110.0, "share_within_group": 2.0717892946151726}, {"gender": "Male", "age": "57", "total_measure": 1595453.0, "share_within_group": 2.063180708853737}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..827a316e99ce47d6637b394e8a019fc2ca2c5f19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_9a9b7d94d35e5210 +-- problem_id: v2p_m7_ea038a4cef88bee5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + "age", + SUM(CAST(NULLIF("id", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("id", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("id", '') AS REAL))) OVER (PARTITION BY "gender") AS share_within_group +FROM "m7" +GROUP BY "gender", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3bc0e91abc60afb37e3a094bbab35d9580980108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"gender\",\n \"age\",\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"id\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"id\", '') AS REAL))) OVER (PARTITION BY \"gender\") AS share_within_group\nFROM \"m7\"\nGROUP BY \"gender\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"gender\\\",\\n \\\"age\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"gender\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gender\": \"Other\", \"age\": \"26\", \"total_measure\": 56156.0, \"share_within_group\": 100.0}, {\"gender\": \"Female\", \"age\": \"78\", \"total_measure\": 2376968.0, \"share_within_group\": 2.1763085038765317}, {\"gender\": \"Female\", \"age\": \"45\", \"total_measure\": 2282593.0, \"share_within_group\": 2.089900476905471}, {\"gender\": \"Male\", \"age\": \"53\", \"total_measure\": 1602110.0, \"share_within_group\": 2.0717892946151726}, {\"gender\": \"Male\", \"age\": \"57\", \"total_measure\": 1595453.0, \"share_within_group\": 2.063180708853737}, {\"gender\": \"Male\", \"age\": \"54\", \"total_measure\": 1521130.0, \"share_within_group\": 1.9670689588842072}, {\"gender\": \"Male\", \"age\": \"61\", \"total_measure\": 1514976.0, \"share_within_group\": 1.9591108340868701}, {\"gender\": \"Female\", \"age\": \"79\", \"total_measure\": 2081640.0, \"share_within_group\": 1.9059115789566978}, {\"gender\": \"Female\", \"age\": \"52\", \"total_measure\": 2042678.0, \"share_within_group\": 1.8702386830960729}, {\"gender\": \"Female\", \"age\": \"57\", \"total_measure\": 2023427.0, \"share_within_group\": 1.8526128189665907}, {\"gender\": \"Male\", \"age\": \"55\", \"total_measure\": 1414898.0, \"share_within_group\": 1.8296936723273798}, {\"gender\": \"Male\", \"age\": \"52\", \"total_measure\": 1398333.0, \"share_within_group\": 1.8082724280524545}, {\"gender\": \"Female\", \"age\": \"50\", \"total_measure\": 1935331.0, \"share_within_group\": 1.7719537297581929}, {\"gender\": \"Male\", \"age\": \"58\", \"total_measure\": 1368975.0, \"share_within_group\": 1.7703077501518658}, {\"gender\": \"Female\", \"age\": \"53\", \"total_measure\": 1916550.0, \"share_within_group\": 1.7547581890477983}, {\"gender\": \"Female\", \"age\": \"38\", \"total_measure\": 1914029.0, \"share_within_group\": 1.7524500074743516}, {\"gender\": \"Male\", \"age\": \"59\", \"total_measure\": 1354469.0, \"share_within_group\": 1.7515491283920068}, {\"gender\": \"Male\", \"age\": \"62\", \"total_measure\": 1345708.0, \"share_within_group\": 1.7402197277827332}, {\"gender\": \"Female\", \"age\": \"40\", \"total_measure\": 1892996.0, \"share_within_group\": 1.7331925766793073}, {\"gender\": \"Male\", \"age\": \"46\", \"total_measure\": 1307522.0, \"share_within_group\": 1.6908390073551876}, {\"gender\": \"Male\", \"age\": \"78\", \"total_measure\": 1289611.0, \"share_within_group\": 1.6676771657488982}, {\"gender\": \"Male\", \"age\": \"47\", \"total_measure\": 1287566.0, \"share_within_group\": 1.665032647515139}, {\"gender\": \"Female\", \"age\": \"31\", \"total_measure\": 1818075.0, \"share_within_group\": 1.664596276931505}, {\"gender\": \"Female\", \"age\": \"47\", \"total_measure\": 1800670.0, \"share_within_group\": 1.6486605766991203}, {\"gender\": \"Female\", \"age\": \"56\", \"total_measure\": 1785042.0, \"share_within_group\": 1.634351865223584}, {\"gender\": \"Male\", \"age\": \"5\", \"total_measure\": 1252317.0, \"share_within_group\": 1.6194499466731929}, {\"gender\": \"Male\", \"age\": \"63\", \"total_measure\": 1245395.0, \"share_within_group\": 1.6104986727298767}, {\"gender\": \"Female\", \"age\": \"49\", \"total_measure\": 1731542.0, \"share_within_group\": 1.5853682419870094}, {\"gender\": \"Male\", \"age\": \"80\", \"total_measure\": 1225365.0, \"share_within_group\": 1.5845966188314915}, {\"gender\": \"Female\", \"age\": \"51\", \"total_measure\": 1718665.0, \"share_within_group\": 1.57357829588575}, {\"gender\": \"Female\", \"age\": \"37\", \"total_measure\": 1693848.0, \"share_within_group\": 1.5508563037761787}, {\"gender\": \"Male\", \"age\": \"49\", \"total_measure\": 1197142.0, \"share_within_group\": 1.548099680879713}, {\"gender\": \"Female\", \"age\": \"26\", \"total_measure\": 1686892.0, \"share_within_group\": 1.5444875171736812}, {\"gender\": \"Female\", \"age\": \"48\", \"total_measure\": 1675743.0, \"share_within_group\": 1.534279696323876}, {\"gender\": \"Female\", \"age\": \"55\", \"total_measure\": 1667962.0, \"share_within_group\": 1.5271555547836184}, {\"gender\": \"Female\", \"age\": \"34\", \"total_measure\": 1661503.0, \"share_within_group\": 1.5212418123072626}, {\"gender\": \"Female\", \"age\": \"62\", \"total_measure\": 1659865.0, \"share_within_group\": 1.519742089412655}, {\"gender\": \"Female\", \"age\": \"23\", \"total_measure\": 1657139.0, \"share_within_group\": 1.5172462135819464}, {\"gender\": \"Male\", \"age\": \"39\", \"total_measure\": 1170963.0, \"share_within_group\": 1.514245967998743}, {\"gender\": \"Female\", \"age\": \"44\", \"total_measure\": 1653121.0, \"share_within_group\": 1.5135674061396183}, {\"gender\": \"Female\", \"age\": \"59\", \"total_measure\": 1649112.0, \"share_within_group\": 1.5098968389329748}, {\"gender\": \"Female\", \"age\": \"27\", \"total_measure\": 1608236.0, \"share_within_group\": 1.4724715196167464}, {\"gender\": \"Male\", \"age\": \"60\", \"total_measure\": 1137532.0, \"share_within_group\": 1.4710142374007942}, {\"gender\": \"Male\", \"age\": \"56\", \"total_measure\": 1134065.0, \"share_within_group\": 1.466530841451433}, {\"gender\": \"Male\", \"age\": \"2\", \"total_measure\": 1130543.0, \"share_within_group\": 1.461976321539795}, {\"gender\": \"Male\", \"age\": \"15\", \"total_measure\": 1115390.0, \"share_within_group\": 1.4423810233509666}, {\"gender\": \"Female\", \"age\": \"42\", \"total_measure\": 1566152.0, \"share_within_group\": 1.4339401775552882}, {\"gender\": \"Female\", \"age\": \"60\", \"total_measure\": 1553349.0, \"share_within_group\": 1.4222179845029916}, {\"gender\": \"Male\", \"age\": \"37\", \"total_measure\": 1097035.0, \"share_within_group\": 1.418645017394658}, {\"gender\": \"Female\", \"age\": \"80\", \"total_measure\": 1530240.0, \"share_within_group\": 1.4010598060100194}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fa2a9893c0280e29d9cb2ce7707e68dc0cfccb16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:38:01.485450+00:00", + "ended_at": "2026-05-19T15:38:15.747756+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_9a9b7d94d35e5210", + "problem_id": "v2p_m7_ea038a4cef88bee5", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "item_col": "age", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9a9b7d94d35e5210.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9a9b7d94d35e5210", + "api_calls": 0, + "input_tokens": 14392, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15084, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14244.74, + "sql_execution_elapsed_ms_total": 11.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd3e0f425290ded9124a1729feef1d48abf02a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:15.732751+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14244.74, "started_at": "2026-05-19T15:38:01.486404+00:00", "ended_at": "2026-05-19T15:38:15.731184+00:00", "prompt_metrics": {"chars": 8048, "bytes_utf8": 8048, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 593, "bytes_utf8": 593, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14392, "cached_input_tokens": 13696, "output_tokens": 692, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"gender\\\",\\n \\\"age\\\",\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"id\\\", '') AS REAL))) OVER (PARTITION BY \\\"gender\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"gender\\\", item_col=\\\"age\\\", and measure_col=\\\"id\\\". Because \\\"id\\\" is stored as TEXT, it is cast to REAL for SUM(), and empty strings are ignored via NULLIF.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6a8e875eab38456bede9cdeb30533e54e236bba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9a9b7d94d35e5210", + "api_calls": 0, + "input_tokens": 14392, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15084, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14244.74, + "sql_execution_elapsed_ms_total": 11.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9a9b7d94d35e5210/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..68fc392832e8c8daa9eeefd2a52eb06edfd9a8bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Residence_type": "Urban", "total_rows": 2596, "missing_rows": 0, "missing_rate": 0.0}, {"Residence_type": "Rural", "total_rows": 2514, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..88df966e473109f80b1843e95c40d9a86d460fb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_9ad32eec36f071f9 +-- problem_id: v2p_m7_6f40c5c4ea596e87 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Residence_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "Residence_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0e3075dc0acb01e6806f728d9829f5006aebe4a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_9ad32eec36f071f9\n-- problem_id: v2p_m7_6f40c5c4ea596e87\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Residence_type\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_9ad32eec36f071f9\\n-- problem_id: v2p_m7_6f40c5c4ea596e87\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Residence_type\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"Residence_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"Residence_type\": \"Urban\", \"total_rows\": 2596, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"Residence_type\": \"Rural\", \"total_rows\": 2514, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..969fea3a2518b9e0cef67a69a0f7f1913615eb40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.835293+00:00", + "ended_at": "2026-05-19T16:09:16.837852+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_9ad32eec36f071f9", + "problem_id": "v2p_m7_6f40c5c4ea596e87", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=Residence_type, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "Residence_type" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ad32eec36f071f9.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9ad32eec36f071f9/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9d57be0ead7c5f4903d64553590019271482185 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "percentile_measure": 79.0}, {"Residence_type": "Rural", "percentile_measure": 78.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5aed6e7b27a34fa413a7c0f20c3adafc32915b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/generated_sql.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_9bb6bd2ba43e899c +-- problem_id: v2p_m7_af642d3cdbdfb253 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "row_num", + COUNT(*) OVER ( + PARTITION BY "Residence_type" + ) AS "n" + FROM "m7" + WHERE "age" IS NOT NULL + AND TRIM("age") <> '' +), +"params" AS ( + SELECT DISTINCT + "Residence_type", + (0.95 * ("n" - 1)) + 1.0 AS "pos", + CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) AS "lower_row", + CASE + WHEN ((0.95 * ("n" - 1)) + 1.0) = CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) + THEN CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) + ELSE CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) + 1 + END AS "upper_row" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."Residence_type", + p."pos", + p."lower_row", + p."upper_row", + lo."age_value" AS "lower_value", + hi."age_value" AS "upper_value" + FROM "params" AS p + JOIN "ordered" AS lo + ON lo."Residence_type" = p."Residence_type" + AND lo."row_num" = p."lower_row" + JOIN "ordered" AS hi + ON hi."Residence_type" = p."Residence_type" + AND hi."row_num" = p."upper_row" +) +SELECT + "Residence_type", + CASE + WHEN "lower_row" = "upper_row" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_row") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d3bd1a63b9ef23f92ffab6f508c57146b5430e4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Residence_type\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Residence_type\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"row_num\",\n COUNT(*) OVER (\n PARTITION BY \"Residence_type\"\n ) AS \"n\"\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\n),\n\"params\" AS (\n SELECT DISTINCT\n \"Residence_type\",\n (0.95 * (\"n\" - 1)) + 1.0 AS \"pos\",\n CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER) AS \"lower_row\",\n CASE\n WHEN ((0.95 * (\"n\" - 1)) + 1.0) = CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER)\n THEN CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER)\n ELSE CAST((0.95 * (\"n\" - 1)) + 1.0 AS INTEGER) + 1\n END AS \"upper_row\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"Residence_type\",\n p.\"pos\",\n p.\"lower_row\",\n p.\"upper_row\",\n lo.\"age_value\" AS \"lower_value\",\n hi.\"age_value\" AS \"upper_value\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS lo\n ON lo.\"Residence_type\" = p.\"Residence_type\"\n AND lo.\"row_num\" = p.\"lower_row\"\n JOIN \"ordered\" AS hi\n ON hi.\"Residence_type\" = p.\"Residence_type\"\n AND hi.\"row_num\" = p.\"upper_row\"\n)\nSELECT\n \"Residence_type\",\n CASE\n WHEN \"lower_row\" = \"upper_row\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_row\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"row_num\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"Residence_type\\\",\\n (0.95 * (\\\"n\\\" - 1)) + 1.0 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER) AS \\\"lower_row\\\",\\n CASE\\n WHEN ((0.95 * (\\\"n\\\" - 1)) + 1.0) = CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER)\\n THEN CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER)\\n ELSE CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_row\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Residence_type\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_row\\\",\\n p.\\\"upper_row\\\",\\n lo.\\\"age_value\\\" AS \\\"lower_value\\\",\\n hi.\\\"age_value\\\" AS \\\"upper_value\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS lo\\n ON lo.\\\"Residence_type\\\" = p.\\\"Residence_type\\\"\\n AND lo.\\\"row_num\\\" = p.\\\"lower_row\\\"\\n JOIN \\\"ordered\\\" AS hi\\n ON hi.\\\"Residence_type\\\" = p.\\\"Residence_type\\\"\\n AND hi.\\\"row_num\\\" = p.\\\"upper_row\\\"\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n CASE\\n WHEN \\\"lower_row\\\" = \\\"upper_row\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_row\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Residence_type\", \"percentile_measure\"], \"rows\": [{\"Residence_type\": \"Urban\", \"percentile_measure\": 79.0}, {\"Residence_type\": \"Rural\", \"percentile_measure\": 78.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 23.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc15124231cb51d687056de5f4aec0f66943dffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:52:15.659575+00:00", + "ended_at": "2026-05-19T15:52:57.429757+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_9bb6bd2ba43e899c", + "problem_id": "v2p_m7_af642d3cdbdfb253", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9bb6bd2ba43e899c.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9bb6bd2ba43e899c", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 2665, + "total_tokens": 16980, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 41742.03, + "sql_execution_elapsed_ms_total": 23.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eae190411c99856fc6ba2ba44fb99fcb78b70c48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:57.403937+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 41742.03, "started_at": "2026-05-19T15:52:15.660798+00:00", "ended_at": "2026-05-19T15:52:57.402860+00:00", "prompt_metrics": {"chars": 7841, "bytes_utf8": 7841, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1845, "bytes_utf8": 1845, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 2665, "reasoning_output_tokens": 2066}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"row_num\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"Residence_type\\\",\\n (0.95 * (\\\"n\\\" - 1)) + 1.0 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER) AS \\\"lower_row\\\",\\n CASE\\n WHEN ((0.95 * (\\\"n\\\" - 1)) + 1.0) = CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER)\\n THEN CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER)\\n ELSE CAST((0.95 * (\\\"n\\\" - 1)) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_row\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Residence_type\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_row\\\",\\n p.\\\"upper_row\\\",\\n lo.\\\"age_v"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8c24fc5de8405e254fe5b0f857a9462cadc16eb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_9bb6bd2ba43e899c", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 2665, + "total_tokens": 16980, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 41742.03, + "sql_execution_elapsed_ms_total": 23.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_9bb6bd2ba43e899c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..00fd1d4c0d7951c84d80b630973a1cfb2bc122ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=gender. +Result preview: [{"gender": "Other", "support": 1}, {"gender": "Male", "support": 2115}, {"gender": "Female", "support": 2994}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ea16e5bf750c92e712e1df88f31f31daf3a43ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m7_a207cc0edf9f71c3 +-- problem_id: v2p_m7_26f2260b7192b757 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + COUNT(*) AS support +FROM "m7" +GROUP BY "gender" +ORDER BY support ASC, "gender" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcc8e04e205bec7769b047582ede27195e6e9125 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"gender\",\n COUNT(*) AS support\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY support ASC, \"gender\"\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"gender\\\",\\n COUNT(*) AS support\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY support ASC, \\\"gender\\\"\\nLIMIT 15;\", \"columns\": [\"gender\", \"support\"], \"rows\": [{\"gender\": \"Other\", \"support\": 1}, {\"gender\": \"Male\", \"support\": 2115}, {\"gender\": \"Female\", \"support\": 2994}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7171e30fb0fd29c0086b48b0914b724915110d16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:04:34.418364+00:00", + "ended_at": "2026-05-19T16:04:41.194572+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_a207cc0edf9f71c3", + "problem_id": "v2p_m7_26f2260b7192b757", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=gender.", + "bindings": { + "group_col": "gender", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a207cc0edf9f71c3.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_a207cc0edf9f71c3", + "api_calls": 0, + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 179, + "total_tokens": 14466, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 6765.82, + "sql_execution_elapsed_ms_total": 4.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..69661a6e59c26b7d60f8300e153b7bc68156b0ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:41.187277+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 6765.82, "started_at": "2026-05-19T16:04:34.419684+00:00", "ended_at": "2026-05-19T16:04:41.185542+00:00", "prompt_metrics": {"chars": 7648, "bytes_utf8": 7648, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14287, "cached_input_tokens": 12032, "output_tokens": 179, "reasoning_output_tokens": 86}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"gender\\\",\\n COUNT(*) AS support\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY support ASC, \\\"gender\\\"\\nLIMIT 15;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"gender\\\", counting rows per gender and returning the lowest-support groups first.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..819d5053f42726b7747d537829305ce2d7113512 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_a207cc0edf9f71c3", + "api_calls": 0, + "input_tokens": 14287, + "cached_input_tokens": 12032, + "output_tokens": 179, + "total_tokens": 14466, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 6765.82, + "sql_execution_elapsed_ms_total": 4.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a207cc0edf9f71c3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..70ea56618b347fc8ef3911458d3eafa4c8e0737f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=heart_disease, condition_col=heart_disease. +Result preview: [{"heart_disease": "1", "condition_ratio": 0.0}, {"heart_disease": "0", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5358960fe81c622a1d2a42d295d8425862b91bac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_a9e4e642f46f1792 +-- problem_id: v2p_m7_24fa116ea7ea05d3 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "heart_disease", + SUM(CASE WHEN "heart_disease" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "heart_disease" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "heart_disease" +) +SELECT "heart_disease", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a5fcae0d5bea3283709f0ea84add2b74724855f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"heart_disease\",\n SUM(CASE WHEN \"heart_disease\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"heart_disease\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"heart_disease\"\n)\nSELECT \"heart_disease\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"heart_disease\\\",\\n SUM(CASE WHEN \\\"heart_disease\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"heart_disease\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"heart_disease\\\"\\n)\\nSELECT \\\"heart_disease\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"heart_disease\", \"condition_ratio\"], \"rows\": [{\"heart_disease\": \"1\", \"condition_ratio\": 0.0}, {\"heart_disease\": \"0\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c69e009c35dd6e08c7ed7292f5fea70c1a25a77d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:40:27.322746+00:00", + "ended_at": "2026-05-19T15:40:40.117959+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_a9e4e642f46f1792", + "problem_id": "v2p_m7_24fa116ea7ea05d3", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=heart_disease, condition_col=heart_disease.", + "bindings": { + "group_col": "heart_disease", + "condition_col": "heart_disease", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a9e4e642f46f1792.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_a9e4e642f46f1792", + "api_calls": 0, + "input_tokens": 14492, + "cached_input_tokens": 12032, + "output_tokens": 466, + "total_tokens": 14958, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12787.4, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1dcac0117906ecfdafeb488427a0909d8a1ca47e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:40.112418+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12787.4, "started_at": "2026-05-19T15:40:27.323677+00:00", "ended_at": "2026-05-19T15:40:40.111098+00:00", "prompt_metrics": {"chars": 8486, "bytes_utf8": 8486, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 759, "bytes_utf8": 759, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14492, "cached_input_tokens": 12032, "output_tokens": 466, "reasoning_output_tokens": 268}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"heart_disease\\\",\\n SUM(CASE WHEN \\\"heart_disease\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"heart_disease\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"heart_disease\\\"\\n)\\nSELECT \\\"heart_disease\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the requested template with both group_col and condition_col bound to \\\"heart_disease\\\". Because the grouping and condition use the same binary column, one group will have a NULL ratio due to zero denominator and the other will have ratio 0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5a562764b0c0e9eb442edbff20d0244b1a036f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_a9e4e642f46f1792", + "api_calls": 0, + "input_tokens": 14492, + "cached_input_tokens": 12032, + "output_tokens": 466, + "total_tokens": 14958, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12787.4, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_a9e4e642f46f1792/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc4e161d184d7893029e7ff29e7ecb1adb7ed171 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ever_married, condition_col=ever_married. +Result preview: [{"ever_married": "No", "condition_rate": 1.0}, {"ever_married": "Yes", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b827fb01d32953e1ddbdd7591b96fe281dd3544c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_af66ac68934bf3fd +-- problem_id: v2p_m7_348262b028457439 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", + AVG(CASE WHEN "ever_married" = 'No' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01180968a15c5b20989a5609cd1945f23db97228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"ever_married\",\n AVG(CASE WHEN \"ever_married\" = 'No' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ever_married\\\",\\n AVG(CASE WHEN \\\"ever_married\\\" = 'No' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"ever_married\", \"condition_rate\"], \"rows\": [{\"ever_married\": \"No\", \"condition_rate\": 1.0}, {\"ever_married\": \"Yes\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..64a7da6657311fe9872a3824d09f3f9547c84d4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:00:18.331381+00:00", + "ended_at": "2026-05-19T16:00:26.891763+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_af66ac68934bf3fd", + "problem_id": "v2p_m7_348262b028457439", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ever_married, condition_col=ever_married.", + "bindings": { + "group_col": "ever_married", + "condition_col": "ever_married", + "condition_value": "No", + "positive_value": "Yes", + "negative_value": "No", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af66ac68934bf3fd.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_af66ac68934bf3fd", + "api_calls": 0, + "input_tokens": 14345, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 14646, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8555.35, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c1a1bddfb5c795216eac43967c9ba8c822f32067 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:26.888507+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8555.35, "started_at": "2026-05-19T16:00:18.332278+00:00", "ended_at": "2026-05-19T16:00:26.887647+00:00", "prompt_metrics": {"chars": 7921, "bytes_utf8": 7921, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14345, "cached_input_tokens": 12032, "output_tokens": 301, "reasoning_output_tokens": 190}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ever_married\\\",\\n AVG(CASE WHEN \\\"ever_married\\\" = 'No' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"ever_married\\\" and condition_col=\\\"ever_married\\\", using condition_value='No'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..98275657ccda532530321b3344bf013d7b2fe0cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_af66ac68934bf3fd", + "api_calls": 0, + "input_tokens": 14345, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 14646, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8555.35, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_af66ac68934bf3fd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": []} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0a3b9fdd18bb4a83354c602d4a628f501fdb62f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_b08e570d67b10bd1 +-- problem_id: v2p_m7_f14a321d34395209 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "id", + COUNT(*) AS support, + AVG("avg_glucose_level") AS avg_response +FROM "m7" +GROUP BY "id" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9efce0dbb61ba82abd10620f388530275e1497d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_b08e570d67b10bd1\n-- problem_id: v2p_m7_f14a321d34395209\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"id\",\n COUNT(*) AS support,\n AVG(\"avg_glucose_level\") AS avg_response\nFROM \"m7\"\nGROUP BY \"id\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_b08e570d67b10bd1\\n-- problem_id: v2p_m7_f14a321d34395209\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"id\\\",\\n COUNT(*) AS support,\\n AVG(\\\"avg_glucose_level\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"id\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"id\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f66a4d229245d38d87fc016e5fdebbbc2677f4c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.906506+00:00", + "ended_at": "2026-05-19T16:09:16.910600+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b08e570d67b10bd1", + "problem_id": "v2p_m7_f14a321d34395209", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=avg_glucose_level, key_col=id.", + "bindings": { + "key_col": "id", + "measure_col": "avg_glucose_level", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b08e570d67b10bd1.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b08e570d67b10bd1/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdb744ce3193274a4b98dbe226c723da373be010 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age. +Result preview: [{"hypertension": "1", "avg_measure": 62.24497991967871}, {"hypertension": "0", "avg_measure": 41.17302688638335}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9036cafec16f1d46335a89bb96edf61fc1a0a1fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_b09ded987d65335e +-- problem_id: v2p_m7_ff58332712e729ef +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "hypertension", + AVG(CAST(NULLIF("age", '') AS REAL)) OVER (PARTITION BY "hypertension") AS avg_measure +FROM "m7" +WHERE NULLIF("age", '') IS NOT NULL +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b9e4682ad31635c789f0201880c81bb7d8398fe1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"hypertension\",\n AVG(CAST(NULLIF(\"age\", '') AS REAL)) OVER (PARTITION BY \"hypertension\") AS avg_measure\nFROM \"m7\"\nWHERE NULLIF(\"age\", '') IS NOT NULL\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"hypertension\\\",\\n AVG(CAST(NULLIF(\\\"age\\\", '') AS REAL)) OVER (PARTITION BY \\\"hypertension\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\nORDER BY avg_measure DESC;\", \"columns\": [\"hypertension\", \"avg_measure\"], \"rows\": [{\"hypertension\": \"1\", \"avg_measure\": 62.24497991967871}, {\"hypertension\": \"0\", \"avg_measure\": 41.17302688638335}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..836eedd08faaf6dbbbbffe4d6a76473956538d18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:18.694670+00:00", + "ended_at": "2026-05-19T16:08:29.408147+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b09ded987d65335e", + "problem_id": "v2p_m7_ff58332712e729ef", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=hypertension, measure_col=age.", + "bindings": { + "group_col": "hypertension", + "measure_col": "age", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b09ded987d65335e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b09ded987d65335e", + "api_calls": 0, + "input_tokens": 14288, + "cached_input_tokens": 13696, + "output_tokens": 431, + "total_tokens": 14719, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10697.55, + "sql_execution_elapsed_ms_total": 10.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..943f3890e85c5e5b9487802c0cdd68fd9fa6e048 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:08:29.394794+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10697.55, "started_at": "2026-05-19T16:08:18.696383+00:00", "ended_at": "2026-05-19T16:08:29.393960+00:00", "prompt_metrics": {"chars": 7742, "bytes_utf8": 7742, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 505, "bytes_utf8": 505, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14288, "cached_input_tokens": 13696, "output_tokens": 431, "reasoning_output_tokens": 302}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"hypertension\\\",\\n AVG(CAST(NULLIF(\\\"age\\\", '') AS REAL)) OVER (PARTITION BY \\\"hypertension\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the planned Window Partition Average template with group_col=\\\"hypertension\\\" and measure_col=\\\"age\\\". \\\"age\\\" is stored as TEXT in the schema, so it is cast to REAL and empty strings are filtered out for a stable average.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bcbebefeeea55c17762bef61d0841b44ae200f9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b09ded987d65335e", + "api_calls": 0, + "input_tokens": 14288, + "cached_input_tokens": 13696, + "output_tokens": 431, + "total_tokens": 14719, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10697.55, + "sql_execution_elapsed_ms_total": 10.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b09ded987d65335e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e727c633ffa6c5eb4b174d53d96a4f062de97125 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:07:19.693329+00:00", + "ended_at": "2026-05-19T16:07:27.819928+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b0db62177aa4737b", + "problem_id": "v2p_m7_854bc4d823756942", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75433e46a14e8e718e3ee381006f2abb0f968546 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0db62177aa4737b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:24.201280+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4505.55, "started_at": "2026-05-19T16:07:19.694698+00:00", "ended_at": "2026-05-19T16:07:24.200278+00:00", "prompt_metrics": {"chars": 7776, "bytes_utf8": 7776, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-dea3-77f2-bc57-06b372f1a28f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:27.819843+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2616.56, "started_at": "2026-05-19T16:07:25.202562+00:00", "ended_at": "2026-05-19T16:07:27.819168+00:00", "prompt_metrics": {"chars": 7776, "bytes_utf8": 7776, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-f40b-77d1-a9f4-b58f45d989d4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..60a8255f40b3d2da1756708ad2d189c89e2bfd7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "percentile_measure": 75.0}, {"Residence_type": "Rural", "percentile_measure": 73.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4ed70dd3d3caf2fffdebaea2a7a1ccde1eadee91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_b0e50969a4299845 +-- problem_id: v2p_m7_09ca372f8c0a42c6 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + CUME_DIST() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "cum_dist" + FROM "m7" + WHERE "age" IS NOT NULL + AND "age" <> '' +) +SELECT + "Residence_type", + MIN("age_value") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.9 +GROUP BY "Residence_type" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8431880ebba06756890ee2b86619304c1b051fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Residence_type\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n CUME_DIST() OVER (\n PARTITION BY \"Residence_type\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"cum_dist\"\n FROM \"m7\"\n WHERE \"age\" IS NOT NULL\n AND \"age\" <> ''\n)\nSELECT\n \"Residence_type\",\n MIN(\"age_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.9\nGROUP BY \"Residence_type\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL\\n AND \\\"age\\\" <> ''\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Residence_type\", \"percentile_measure\"], \"rows\": [{\"Residence_type\": \"Urban\", \"percentile_measure\": 75.0}, {\"Residence_type\": \"Rural\", \"percentile_measure\": 73.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 19.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..23a7b828534347e08be2a28c162e0a9a41cd2734 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:58:06.170288+00:00", + "ended_at": "2026-05-19T15:58:31.842304+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b0e50969a4299845", + "problem_id": "v2p_m7_09ca372f8c0a42c6", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0e50969a4299845.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b0e50969a4299845", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1249, + "total_tokens": 15564, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24644.28, + "sql_execution_elapsed_ms_total": 19.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..93250233fd3af78958679e5b6033045800565851 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:09.393759+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3221.55, "started_at": "2026-05-19T15:58:06.171514+00:00", "ended_at": "2026-05-19T15:58:09.393087+00:00", "prompt_metrics": {"chars": 7837, "bytes_utf8": 7837, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-6c6f-7611-b423-fdf1dc6db7a1\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:31.819365+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21422.73, "started_at": "2026-05-19T15:58:10.395140+00:00", "ended_at": "2026-05-19T15:58:31.817918+00:00", "prompt_metrics": {"chars": 7837, "bytes_utf8": 7837, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 753, "bytes_utf8": 753, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 1249, "reasoning_output_tokens": 1034}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"age\\\" IS NOT NULL\\n AND \\\"age\\\" <> ''\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a SQLite-compatible nearest-rank approximation of the 90th percentile with CUME_DIST(), casting \\\"age\\\" from TEXT to REAL and excluding blank ages.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2c1603a386a5aba96e252819d688096f5adacd30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b0e50969a4299845", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 1249, + "total_tokens": 15564, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24644.28, + "sql_execution_elapsed_ms_total": 19.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b0e50969a4299845/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5c280c372b12c6d108fd9fba2460e7bcb0687ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"empirical_cdf_at_threshold": 0.7499021526418786}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0f4dbe41a6667cbfffd81b1c1e8079c47d88090d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_b122600f1acc127d +-- problem_id: v2p_m7_f747ff8ae9be2f1d +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("id" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1d08dc5319ccb26aacfab78a5ee9e37e192d3c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m7\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"id\\\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7499021526418786}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5b5f652246ed9f573801a8f956cffbbaaf9b614e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:02:13.120553+00:00", + "ended_at": "2026-05-19T16:02:27.454542+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b122600f1acc127d", + "problem_id": "v2p_m7_f747ff8ae9be2f1d", + "dataset_id": "m7", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=108" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b122600f1acc127d.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b122600f1acc127d", + "api_calls": 0, + "input_tokens": 14266, + "cached_input_tokens": 12032, + "output_tokens": 435, + "total_tokens": 14701, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13326.62, + "sql_execution_elapsed_ms_total": 1.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dbecb379c003e2564cb5f541b519cc44ade4fe77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:16.024553+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2902.38, "started_at": "2026-05-19T16:02:13.121458+00:00", "ended_at": "2026-05-19T16:02:16.023860+00:00", "prompt_metrics": {"chars": 7586, "bytes_utf8": 7586, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-311c-74d1-b2ca-655512589b8d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:27.451179+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10424.24, "started_at": "2026-05-19T16:02:17.025856+00:00", "ended_at": "2026-05-19T16:02:27.450142+00:00", "prompt_metrics": {"chars": 7586, "bytes_utf8": 7586, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 334, "bytes_utf8": 334, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14266, "cached_input_tokens": 12032, "output_tokens": 435, "reasoning_output_tokens": 331}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"id\\\" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m7\\\";\",\"notes\":\"Used the Threshold Rarity CDF template with measure_col bound to \\\"id\\\" and threshold 54682.0. Cast \\\"id\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9efc7adc8dc2bb0d10fac54ed7406693584f3d9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b122600f1acc127d", + "api_calls": 0, + "input_tokens": 14266, + "cached_input_tokens": 12032, + "output_tokens": 435, + "total_tokens": 14701, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13326.62, + "sql_execution_elapsed_ms_total": 1.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b122600f1acc127d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9a62f23d5ec8385a602d94b58c35e237457be32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id. +Result preview: [{"gender": "Female", "total_measure": 109220177}, {"gender": "Male", "total_measure": 77329775}, {"gender": "Other", "total_measure": 56156}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ea5a1b8764c6fb16c33267a1917d7feb923d9bec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_b2b34b2af67ba04f +-- problem_id: v2p_m7_5c3abaa67f025725 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST("id" AS NUMERIC)) AS total_measure +FROM "m7" +GROUP BY "gender" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1dbace0bd2ae8538500252d8123add0bc3320a8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum.\nSELECT \"gender\", SUM(CAST(\"id\" AS NUMERIC)) AS total_measure\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"gender\", \"total_measure\"], \"rows\": [{\"gender\": \"Female\", \"total_measure\": 109220177}, {\"gender\": \"Male\", \"total_measure\": 77329775}, {\"gender\": \"Other\", \"total_measure\": 56156}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad25d180a734258fca380c0f1bcc5c3d1913a2e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:31:34.191983+00:00", + "ended_at": "2026-05-19T15:31:43.752847+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b2b34b2af67ba04f", + "problem_id": "v2p_m7_5c3abaa67f025725", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=gender, measure_col=id.", + "bindings": { + "group_col": "gender", + "measure_col": "id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2b34b2af67ba04f.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b2b34b2af67ba04f", + "api_calls": 0, + "input_tokens": 14275, + "cached_input_tokens": 13696, + "output_tokens": 403, + "total_tokens": 14678, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9554.51, + "sql_execution_elapsed_ms_total": 2.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01a69228705c439dcbb49605ec5fef4e832e99e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:43.749112+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9554.51, "started_at": "2026-05-19T15:31:34.193851+00:00", "ended_at": "2026-05-19T15:31:43.748391+00:00", "prompt_metrics": {"chars": 7645, "bytes_utf8": 7645, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14275, "cached_input_tokens": 13696, "output_tokens": 403, "reasoning_output_tokens": 296}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"gender\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"gender\\\" and measure_col=\\\"id\\\". CAST was added because \\\"id\\\" is stored as TEXT in the schema snapshot, and SQLite will then sum it numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4dc12bc19dd002bfefceb391bbe1ae7574118c3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b2b34b2af67ba04f", + "api_calls": 0, + "input_tokens": 14275, + "cached_input_tokens": 13696, + "output_tokens": 403, + "total_tokens": 14678, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9554.51, + "sql_execution_elapsed_ms_total": 2.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b2b34b2af67ba04f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8000fad86d818cfeef09f870b17860fcf847071e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:07:27.820301+00:00", + "ended_at": "2026-05-19T16:07:35.171373+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b5f19ba6b774baa1", + "problem_id": "v2p_m7_1a90c079b9aab0e0", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75c27fe8fcee701f0ccb5b8b0744dd20ae7e33c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b5f19ba6b774baa1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:31.289622+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3467.14, "started_at": "2026-05-19T16:07:27.821580+00:00", "ended_at": "2026-05-19T16:07:31.288751+00:00", "prompt_metrics": {"chars": 7777, "bytes_utf8": 7777, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-fe54-7fb3-a33f-b10db89b8418\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:35.171283+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2879.48, "started_at": "2026-05-19T16:07:32.291009+00:00", "ended_at": "2026-05-19T16:07:35.170537+00:00", "prompt_metrics": {"chars": 7777, "bytes_utf8": 7777, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-0fc0-7163-84a8-f0fd09455e08\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c114ea1f60190731c7a15a6bfa8cbbfb863c736d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "never smoked", "total_measure": 203499.91}, {"smoking_status": "Unknown", "total_measure": 153784.78}, {"smoking_status": "formerly smoked", "total_measure": 99904.18}, {"smoking_status": "smokes", "total_measure": 85225.76}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3d27d335f873ceff9e530942a631532379bb297e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_b9322ee50fb4cf81 +-- problem_id: v2p_m7_fa57b40a75a960b4 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "smoking_status" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c0edb48a53df4b5a053d302f5f5d9db25643a89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"smoking_status\", SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"smoking_status\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"smoking_status\", \"total_measure\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"total_measure\": 203499.91}, {\"smoking_status\": \"Unknown\", \"total_measure\": 153784.78}, {\"smoking_status\": \"formerly smoked\", \"total_measure\": 99904.18}, {\"smoking_status\": \"smokes\", \"total_measure\": 85225.76}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e11922c11e6bf41e2493ff6906cf65be7e223287 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:30:44.750820+00:00", + "ended_at": "2026-05-19T15:30:53.606663+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_b9322ee50fb4cf81", + "problem_id": "v2p_m7_fa57b40a75a960b4", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9322ee50fb4cf81.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b9322ee50fb4cf81", + "api_calls": 0, + "input_tokens": 14285, + "cached_input_tokens": 12032, + "output_tokens": 320, + "total_tokens": 14605, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8846.76, + "sql_execution_elapsed_ms_total": 4.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d81df5a1da4de089e35be2d97a9d824c844076f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:53.600050+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8846.76, "started_at": "2026-05-19T15:30:44.751832+00:00", "ended_at": "2026-05-19T15:30:53.598621+00:00", "prompt_metrics": {"chars": 7690, "bytes_utf8": 7690, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 434, "bytes_utf8": 434, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14285, "cached_input_tokens": 12032, "output_tokens": 320, "reasoning_output_tokens": 209}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoking_status\\\", SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"smoking_status\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested grouped numeric sum template with group_col=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". Casts the TEXT measure to REAL and treats empty strings as NULL for SQLite compatibility.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cacc2c06b6c3c02f4e3e23056507f74f3c6c18f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_b9322ee50fb4cf81", + "api_calls": 0, + "input_tokens": 14285, + "cached_input_tokens": 12032, + "output_tokens": 320, + "total_tokens": 14605, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8846.76, + "sql_execution_elapsed_ms_total": 4.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_b9322ee50fb4cf81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c79a7888aace004fa0293c3ef23c4d26f632c2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"gender": "Female", "total_rows": 2994, "missing_rows": 0, "missing_rate": 0.0}, {"gender": "Male", "total_rows": 2115, "missing_rows": 0, "missing_rate": 0.0}, {"gender": "Other", "total_rows": 1, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a0bde2f7f646a19361496dd04d6c13c72007702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_ba167f6d35bc003f +-- problem_id: v2p_m7_576dace6dcbc69be +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "gender", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "gender" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3caf83cc3047101cd630ece95e0cbe82d57edfee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_ba167f6d35bc003f\n-- problem_id: v2p_m7_576dace6dcbc69be\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"gender\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_ba167f6d35bc003f\\n-- problem_id: v2p_m7_576dace6dcbc69be\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"gender\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"gender\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"gender\": \"Female\", \"total_rows\": 2994, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"gender\": \"Male\", \"total_rows\": 2115, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"gender\": \"Other\", \"total_rows\": 1, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..86aa87124882fa05ed7a41473973aecf7f858b25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.809617+00:00", + "ended_at": "2026-05-19T16:09:16.812494+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ba167f6d35bc003f", + "problem_id": "v2p_m7_576dace6dcbc69be", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=gender, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "gender" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba167f6d35bc003f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba167f6d35bc003f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fc599735653537d08079a12e0f9adbaf31f43ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "1", "percentile_measure": 239.07}, {"heart_disease": "0", "percentile_measure": 212.19}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..82bc1808dc438836b45f24d4ec4a415137b88813 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/generated_sql.sql @@ -0,0 +1,42 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_ba2eee026ced1030 +-- problem_id: v2p_m7_25c1195ee671d671 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "heart_disease", + CAST("avg_glucose_level" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "heart_disease" + ORDER BY CAST("avg_glucose_level" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "heart_disease" + ) AS "cnt" + FROM "m7" + WHERE "heart_disease" IS NOT NULL + AND "avg_glucose_level" IS NOT NULL + AND TRIM("avg_glucose_level") <> '' +), +"picked" AS ( + SELECT + "heart_disease", + MIN("measure_value") AS "percentile_measure" + FROM "ranked" + WHERE "rn" >= CAST((("cnt" * 95) + 99) / 100 AS INTEGER) + GROUP BY "heart_disease" +) +SELECT + "heart_disease", + "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44d154e37a202e6492483e797474c1114c05f5e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"heart_disease\",\n CAST(\"avg_glucose_level\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"heart_disease\"\n ORDER BY CAST(\"avg_glucose_level\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"heart_disease\"\n ) AS \"cnt\"\n FROM \"m7\"\n WHERE \"heart_disease\" IS NOT NULL\n AND \"avg_glucose_level\" IS NOT NULL\n AND TRIM(\"avg_glucose_level\") <> ''\n),\n\"picked\" AS (\n SELECT\n \"heart_disease\",\n MIN(\"measure_value\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" >= CAST(((\"cnt\" * 95) + 99) / 100 AS INTEGER)\n GROUP BY \"heart_disease\"\n)\nSELECT\n \"heart_disease\",\n \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"heart_disease\\\",\\n CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"heart_disease\\\"\\n ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"heart_disease\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"heart_disease\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" IS NOT NULL\\n AND TRIM(\\\"avg_glucose_level\\\") <> ''\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"heart_disease\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST(((\\\"cnt\\\" * 95) + 99) / 100 AS INTEGER)\\n GROUP BY \\\"heart_disease\\\"\\n)\\nSELECT\\n \\\"heart_disease\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"heart_disease\", \"percentile_measure\"], \"rows\": [{\"heart_disease\": \"1\", \"percentile_measure\": 239.07}, {\"heart_disease\": \"0\", \"percentile_measure\": 212.19}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..628e3df62109261c98884fb8fbcb68dd161d2908 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:56:21.157952+00:00", + "ended_at": "2026-05-19T15:56:53.389057+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ba2eee026ced1030", + "problem_id": "v2p_m7_25c1195ee671d671", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba2eee026ced1030.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ba2eee026ced1030", + "api_calls": 0, + "input_tokens": 14323, + "cached_input_tokens": 13696, + "output_tokens": 1798, + "total_tokens": 16121, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32207.37, + "sql_execution_elapsed_ms_total": 18.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bde0714200e397104666b3baace4a44a97522795 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:53.368852+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 32207.37, "started_at": "2026-05-19T15:56:21.160363+00:00", "ended_at": "2026-05-19T15:56:53.367781+00:00", "prompt_metrics": {"chars": 7867, "bytes_utf8": 7867, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1071, "bytes_utf8": 1071, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14323, "cached_input_tokens": 13696, "output_tokens": 1798, "reasoning_output_tokens": 1483}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"heart_disease\\\",\\n CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"heart_disease\\\"\\n ORDER BY CAST(\\\"avg_glucose_level\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"heart_disease\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"heart_disease\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" IS NOT NULL\\n AND TRIM(\\\"avg_glucose_level\\\") <> ''\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"heart_disease\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST(((\\\"cnt\\\" * 95) + 99) / 100 AS INTEGER)\\n GROUP BY \\\"heart_disease\\\"\\n)\\nSELECT\\n \\\"heart_disease\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per heart_disease via window functions. avg_gl"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bdd21464befaa398fa355fc73064d60603ea49e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ba2eee026ced1030", + "api_calls": 0, + "input_tokens": 14323, + "cached_input_tokens": 13696, + "output_tokens": 1798, + "total_tokens": 16121, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32207.37, + "sql_execution_elapsed_ms_total": 18.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ba2eee026ced1030/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6aad611a145de0a4eff4a7f46ae154b7fad3ff9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4834, "support_share": 0.9459882583170255, "support_rank": 1}, {"value_label": "1", "support": 276, "support_share": 0.05401174168297456, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad91dc8e400c033a2ab1bbdcff9c9a437ecef063 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_be2c8c47d3e3f944 +-- problem_id: v2p_m7_885170e5c7eac13a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "heart_disease" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "heart_disease" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac8de5cf2f29c9e77fd960edf1d47d2dae06ea30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_be2c8c47d3e3f944\n-- problem_id: v2p_m7_885170e5c7eac13a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"heart_disease\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"heart_disease\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_be2c8c47d3e3f944\\n-- problem_id: v2p_m7_885170e5c7eac13a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"heart_disease\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"heart_disease\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4834, \"support_share\": 0.9459882583170255, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 276, \"support_share\": 0.05401174168297456, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..73df1707dcd425b1f99fef4127ab06fe64ffb65b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.886444+00:00", + "ended_at": "2026-05-19T16:09:16.888502+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_be2c8c47d3e3f944", + "problem_id": "v2p_m7_885170e5c7eac13a", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=heart_disease.", + "bindings": { + "group_col": "heart_disease" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be2c8c47d3e3f944.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be2c8c47d3e3f944/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..51a6301f7501105c4611c4c6b1ab2472f5a4ba7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:43.632847+00:00", + "ended_at": "2026-05-19T16:08:50.882303+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_be622a93129475dd", + "problem_id": "v2p_m7_486e6c0f0e1f37ad", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ever_married, measure_col=bmi.", + "bindings": { + "group_col": "ever_married", + "measure_col": "bmi", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..537eb3d5033a11dc687d54bd2e40ee1f920753e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_be622a93129475dd/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:46.911188+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3276.33, "started_at": "2026-05-19T16:08:43.634007+00:00", "ended_at": "2026-05-19T16:08:46.910364+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-267d-71e3-bb4d-292f0e6b8f99\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:50.882197+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2969.07, "started_at": "2026-05-19T16:08:47.912041+00:00", "ended_at": "2026-05-19T16:08:50.881152+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-372a-7793-89aa-fd169d32a69d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1311199bc345e4c45f9d2b6d8c454571c71b6a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, condition_col=gender. +Result preview: [{"gender": "Female", "condition_rate": 1.0}, {"gender": "Other", "condition_rate": 0.0}, {"gender": "Male", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd05c5f586fda048490faabda8d3ac5f77d44aeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_c08ff4bb357a2f1e +-- problem_id: v2p_m7_6d8f116ba25cb071 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", + AVG(CASE WHEN "gender" = 'Female' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f03e043e273f0608d1f530ff19b8512946a117c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"gender\",\n AVG(CASE WHEN \"gender\" = 'Female' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m7\"\nGROUP BY \"gender\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Female' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"gender\", \"condition_rate\"], \"rows\": [{\"gender\": \"Female\", \"condition_rate\": 1.0}, {\"gender\": \"Other\", \"condition_rate\": 0.0}, {\"gender\": \"Male\", \"condition_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3a4a3a11c1675fa8e3135bd6d83ec3b1933f9516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:01:38.641166+00:00", + "ended_at": "2026-05-19T16:01:49.449120+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c08ff4bb357a2f1e", + "problem_id": "v2p_m7_6d8f116ba25cb071", + "dataset_id": "m7", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=gender, condition_col=gender.", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Female", + "positive_value": "Female", + "negative_value": "Male", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c08ff4bb357a2f1e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c08ff4bb357a2f1e", + "api_calls": 0, + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 387, + "total_tokens": 14725, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10802.32, + "sql_execution_elapsed_ms_total": 2.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e236bd54fa55204566ca0abdaf1cb64eef3889f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:49.445577+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10802.32, "started_at": "2026-05-19T16:01:38.642402+00:00", "ended_at": "2026-05-19T16:01:49.444759+00:00", "prompt_metrics": {"chars": 7916, "bytes_utf8": 7916, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 491, "bytes_utf8": 491, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14338, "cached_input_tokens": 13696, "output_tokens": 387, "reasoning_output_tokens": 262}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"gender\\\",\\n AVG(CASE WHEN \\\"gender\\\" = 'Female' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"gender\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"gender\\\" and condition_col=\\\"gender\\\". Because the grouping and condition use the same column, the result is a within-group proportion of rows equal to 'Female' for each gender category.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..afa9311ce74a96768ac788585444e77b3288970e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c08ff4bb357a2f1e", + "api_calls": 0, + "input_tokens": 14338, + "cached_input_tokens": 13696, + "output_tokens": 387, + "total_tokens": 14725, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10802.32, + "sql_execution_elapsed_ms_total": 2.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c08ff4bb357a2f1e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1745e5e0d6b8ffb5521110a0101d93d3f7e0134 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=hypertension. +Result preview: [{"hypertension": "0", "row_count": 4612}, {"hypertension": "1", "row_count": 498}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..00c372b35679d94b84ed2a0f555316b199bf5d53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_c0c60e1d1bddb308 +-- problem_id: v2p_m7_04fc434081c4cafb +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "hypertension" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba20697f1421aadace98283614e92433732463c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"hypertension\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nGROUP BY \"hypertension\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"hypertension\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"hypertension\", \"row_count\"], \"rows\": [{\"hypertension\": \"0\", \"row_count\": 4612}, {\"hypertension\": \"1\", \"row_count\": 498}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..12e7024625f0639d63b9a980d3f107482263b440 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:33:17.423262+00:00", + "ended_at": "2026-05-19T15:33:30.445277+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c0c60e1d1bddb308", + "problem_id": "v2p_m7_04fc434081c4cafb", + "dataset_id": "m7", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=hypertension.", + "bindings": { + "group_col": "hypertension", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=17" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c0c60e1d1bddb308.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c0c60e1d1bddb308", + "api_calls": 0, + "input_tokens": 14252, + "cached_input_tokens": 12032, + "output_tokens": 254, + "total_tokens": 14506, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13014.65, + "sql_execution_elapsed_ms_total": 2.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a9668d939a8eb72a7c1f6a53711e1bed86807593 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:30.441369+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13014.65, "started_at": "2026-05-19T15:33:17.425625+00:00", "ended_at": "2026-05-19T15:33:30.440318+00:00", "prompt_metrics": {"chars": 7575, "bytes_utf8": 7575, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 286, "bytes_utf8": 286, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14252, "cached_input_tokens": 12032, "output_tokens": 254, "reasoning_output_tokens": 180}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"hypertension\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nGROUP BY \\\"hypertension\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution for the bound subgroup column \\\"hypertension\\\" using the planned template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..422fbb32382e783aae122e3105878b9059436637 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c0c60e1d1bddb308", + "api_calls": 0, + "input_tokens": 14252, + "cached_input_tokens": 12032, + "output_tokens": 254, + "total_tokens": 14506, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13014.65, + "sql_execution_elapsed_ms_total": 2.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c0c60e1d1bddb308/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2eab558b6de3481f22abaf1166841288d9d6de4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"ever_married": "Yes", "total_rows": 3353, "missing_rows": 0, "missing_rate": 0.0}, {"ever_married": "No", "total_rows": 1757, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0c177ea9e317d9f409692fe3fc935250986041ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_c508d3a2b1f9ad76 +-- problem_id: v2p_m7_084e3c2bb0f78762 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ever_married", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "ever_married" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec1294c1b809d6067bd02e2f9008495ab9191721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_c508d3a2b1f9ad76\n-- problem_id: v2p_m7_084e3c2bb0f78762\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ever_married\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_c508d3a2b1f9ad76\\n-- problem_id: v2p_m7_084e3c2bb0f78762\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ever_married\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"ever_married\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"ever_married\": \"Yes\", \"total_rows\": 3353, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"ever_married\": \"No\", \"total_rows\": 1757, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3f9024cd625e202e8501be7bf541a52c2fa8d1bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.819466+00:00", + "ended_at": "2026-05-19T16:09:16.822062+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c508d3a2b1f9ad76", + "problem_id": "v2p_m7_084e3c2bb0f78762", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=ever_married, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "ever_married" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c508d3a2b1f9ad76.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c508d3a2b1f9ad76/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4162d614dfcdd82f4b4a7f7cf69b93fbff8156e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Urban", "support": 2596, "support_share": 0.5080234833659492, "support_rank": 1}, {"value_label": "Rural", "support": 2514, "support_share": 0.4919765166340509, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..df4c0831d1fce8695dff619e8a1ce7e537028bc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_c56c5dae4967c8ac +-- problem_id: v2p_m7_259fb442763e4cce +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Residence_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "Residence_type" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0cfeee8f4fce39c25c44aaf882741354f1f010c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m7_c56c5dae4967c8ac\n-- problem_id: v2p_m7_259fb442763e4cce\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Residence_type\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"Residence_type\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m7_c56c5dae4967c8ac\\n-- problem_id: v2p_m7_259fb442763e4cce\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Residence_type\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"Residence_type\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Urban\", \"support\": 2596, \"support_share\": 0.5080234833659492, \"support_rank\": 1}, {\"value_label\": \"Rural\", \"support\": 2514, \"support_share\": 0.4919765166340509, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..26330fb022fd090819f46237fbea24d5a1588161 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.894325+00:00", + "ended_at": "2026-05-19T16:09:16.896500+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c56c5dae4967c8ac", + "problem_id": "v2p_m7_259fb442763e4cce", + "dataset_id": "m7", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Residence_type.", + "bindings": { + "group_col": "Residence_type" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c56c5dae4967c8ac.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c56c5dae4967c8ac/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4f9d98e9eb3fea3d26d0d5edd12a0aa45e6010c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, measure_col=avg_glucose_level. +Result preview: [{"heart_disease": "1", "bmi": "31", "total_measure": 840.82, "share_within_group": 2.5558361531568443}, {"heart_disease": "1", "bmi": "32.2", "total_measure": 758.87, "share_within_group": 2.306733167082294}, {"heart_disease": "1", "bmi": "32.5", "total_measure": 624.25, "share_within_group": 1.8975294576819774}, {"heart_disease": "1", "bmi": "34.5", "total_measure": 576.78, "share_within_group": 1.7532351471394647}, {"heart_disease": "1", "bmi": "28", "total_measure": 546.17, "share_within_group": 1.660190090351887}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1a3414b76bfeda29fc5e1751da0739b408548eac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_c65e7d1a55bae35e +-- problem_id: v2p_m7_3f0a4a99b95e58b1 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", "bmi", + SUM(CAST("avg_glucose_level" AS REAL)) AS total_measure, + SUM(CAST("avg_glucose_level" AS REAL)) * 100.0 / SUM(SUM(CAST("avg_glucose_level" AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE "avg_glucose_level" <> '' AND "bmi" <> '' +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8da5ab1c4c0745ba639e8bd3b057e1f599cd7c17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"heart_disease\", \"bmi\",\n SUM(CAST(\"avg_glucose_level\" AS REAL)) AS total_measure,\n SUM(CAST(\"avg_glucose_level\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"avg_glucose_level\" AS REAL))) OVER (PARTITION BY \"heart_disease\") AS share_within_group\nFROM \"m7\"\nWHERE \"avg_glucose_level\" <> '' AND \"bmi\" <> ''\nGROUP BY \"heart_disease\", \"bmi\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"heart_disease\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"avg_glucose_level\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"avg_glucose_level\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"avg_glucose_level\\\" AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE \\\"avg_glucose_level\\\" <> '' AND \\\"bmi\\\" <> ''\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"heart_disease\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"heart_disease\": \"1\", \"bmi\": \"31\", \"total_measure\": 840.82, \"share_within_group\": 2.5558361531568443}, {\"heart_disease\": \"1\", \"bmi\": \"32.2\", \"total_measure\": 758.87, \"share_within_group\": 2.306733167082294}, {\"heart_disease\": \"1\", \"bmi\": \"32.5\", \"total_measure\": 624.25, \"share_within_group\": 1.8975294576819774}, {\"heart_disease\": \"1\", \"bmi\": \"34.5\", \"total_measure\": 576.78, \"share_within_group\": 1.7532351471394647}, {\"heart_disease\": \"1\", \"bmi\": \"28\", \"total_measure\": 546.17, \"share_within_group\": 1.660190090351887}, {\"heart_disease\": \"1\", \"bmi\": \"24.1\", \"total_measure\": 498.23, \"share_within_group\": 1.5144671232693498}, {\"heart_disease\": \"1\", \"bmi\": \"22\", \"total_measure\": 476.11, \"share_within_group\": 1.4472290750452002}, {\"heart_disease\": \"1\", \"bmi\": \"31.1\", \"total_measure\": 473.12, \"share_within_group\": 1.438140387694829}, {\"heart_disease\": \"1\", \"bmi\": \"28.1\", \"total_measure\": 466.49, \"share_within_group\": 1.4179872113961804}, {\"heart_disease\": \"1\", \"bmi\": \"30.5\", \"total_measure\": 460.36, \"share_within_group\": 1.3993538824805367}, {\"heart_disease\": \"1\", \"bmi\": \"26.1\", \"total_measure\": 456.86, \"share_within_group\": 1.3887149507995005}, {\"heart_disease\": \"1\", \"bmi\": \"30.7\", \"total_measure\": 454.93, \"share_within_group\": 1.3828483399011005}, {\"heart_disease\": \"1\", \"bmi\": \"27.9\", \"total_measure\": 444.86, \"share_within_group\": 1.352238613607376}, {\"heart_disease\": \"1\", \"bmi\": \"29.8\", \"total_measure\": 443.88, \"share_within_group\": 1.3492597127366859}, {\"heart_disease\": \"1\", \"bmi\": \"25.5\", \"total_measure\": 438.8, \"share_within_group\": 1.3338180633253531}, {\"heart_disease\": \"1\", \"bmi\": \"26.5\", \"total_measure\": 423.01, \"share_within_group\": 1.2858212829700493}, {\"heart_disease\": \"1\", \"bmi\": \"31.5\", \"total_measure\": 422.1, \"share_within_group\": 1.2830551607329799}, {\"heart_disease\": \"1\", \"bmi\": \"30\", \"total_measure\": 420.91999999999996, \"share_within_group\": 1.2794683209090874}, {\"heart_disease\": \"1\", \"bmi\": \"34.2\", \"total_measure\": 414.4, \"share_within_group\": 1.2596495110347}, {\"heart_disease\": \"1\", \"bmi\": \"36.8\", \"total_measure\": 412.87, \"share_within_group\": 1.254998778042704}, {\"heart_disease\": \"1\", \"bmi\": \"24.9\", \"total_measure\": 411.85, \"share_within_group\": 1.2518982893813735}, {\"heart_disease\": \"1\", \"bmi\": \"41.9\", \"total_measure\": 409.06, \"share_within_group\": 1.2434175409842045}, {\"heart_disease\": \"1\", \"bmi\": \"28.7\", \"total_measure\": 406.90999999999997, \"share_within_group\": 1.236882197237282}, {\"heart_disease\": \"1\", \"bmi\": \"31.9\", \"total_measure\": 405.53, \"share_within_group\": 1.232687418460188}, {\"heart_disease\": \"1\", \"bmi\": \"39\", \"total_measure\": 385.91999999999996, \"share_within_group\": 1.1730790040987242}, {\"heart_disease\": \"1\", \"bmi\": \"28.2\", \"total_measure\": 378.17, \"share_within_group\": 1.149521369662144}, {\"heart_disease\": \"1\", \"bmi\": \"27.3\", \"total_measure\": 374.57, \"share_within_group\": 1.1385784685045066}, {\"heart_disease\": \"1\", \"bmi\": \"29.4\", \"total_measure\": 356.71, \"share_within_group\": 1.0842895199835614}, {\"heart_disease\": \"1\", \"bmi\": \"29.2\", \"total_measure\": 344.81, \"share_within_group\": 1.048117152268038}, {\"heart_disease\": \"1\", \"bmi\": \"26.4\", \"total_measure\": 338.70000000000005, \"share_within_group\": 1.0295446172477147}, {\"heart_disease\": \"1\", \"bmi\": \"25\", \"total_measure\": 328.15, \"share_within_group\": 0.997475837466305}, {\"heart_disease\": \"1\", \"bmi\": \"21.7\", \"total_measure\": 321.32, \"share_within_group\": 0.9767147222144541}, {\"heart_disease\": \"1\", \"bmi\": \"28.3\", \"total_measure\": 319.6, \"share_within_group\": 0.9714864472169163}, {\"heart_disease\": \"1\", \"bmi\": \"27.7\", \"total_measure\": 313.41, \"share_within_group\": 0.9526707366153121}, {\"heart_disease\": \"1\", \"bmi\": \"28.6\", \"total_measure\": 309.84, \"share_within_group\": 0.9418190263006548}, {\"heart_disease\": \"1\", \"bmi\": \"33\", \"total_measure\": 307.82, \"share_within_group\": 0.935678842873314}, {\"heart_disease\": \"1\", \"bmi\": \"30.9\", \"total_measure\": 303.94, \"share_within_group\": 0.9238848271811938}, {\"heart_disease\": \"1\", \"bmi\": \"29.7\", \"total_measure\": 295.53, \"share_within_group\": 0.8983209941990463}, {\"heart_disease\": \"1\", \"bmi\": \"29.6\", \"total_measure\": 294.33, \"share_within_group\": 0.894673360479834}, {\"heart_disease\": \"1\", \"bmi\": \"24.2\", \"total_measure\": 289.77, \"share_within_group\": 0.8808123523468268}, {\"heart_disease\": \"1\", \"bmi\": \"30.4\", \"total_measure\": 287.88, \"share_within_group\": 0.8750673292390672}, {\"heart_disease\": \"1\", \"bmi\": \"30.8\", \"total_measure\": 284.75, \"share_within_group\": 0.8655530846214546}, {\"heart_disease\": \"1\", \"bmi\": \"32.9\", \"total_measure\": 267.95, \"share_within_group\": 0.8144862125524803}, {\"heart_disease\": \"1\", \"bmi\": \"35.2\", \"total_measure\": 266.18, \"share_within_group\": 0.809105952816642}, {\"heart_disease\": \"0\", \"bmi\": \"28.7\", \"total_measure\": 3788.4, \"share_within_group\": 0.7826546022772183}, {\"heart_disease\": \"0\", \"bmi\": \"28.4\", \"total_measure\": 3741.78, \"share_within_group\": 0.7730232651538512}, {\"heart_disease\": \"0\", \"bmi\": \"26.1\", \"total_measure\": 3737.0099999999998, \"share_within_group\": 0.7720378194636225}, {\"heart_disease\": \"0\", \"bmi\": \"27\", \"total_measure\": 3669.4300000000003, \"share_within_group\": 0.7580763058901101}, {\"heart_disease\": \"0\", \"bmi\": \"26.7\", \"total_measure\": 3669.18, \"share_within_group\": 0.758024657793138}, {\"heart_disease\": \"1\", \"bmi\": \"40.5\", \"total_measure\": 247.51, \"share_within_group\": 0.7523548515352282}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 8.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8cef0323363293551ba6cc73548fb6e1fbd4e6e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:38:42.836894+00:00", + "ended_at": "2026-05-19T15:38:54.339226+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c65e7d1a55bae35e", + "problem_id": "v2p_m7_3f0a4a99b95e58b1", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=heart_disease, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "heart_disease", + "measure_col": "avg_glucose_level", + "item_col": "bmi", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 114.09, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=1/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c65e7d1a55bae35e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c65e7d1a55bae35e", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 541, + "total_tokens": 14945, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11489.85, + "sql_execution_elapsed_ms_total": 8.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..438f6205db64f0e78c01cb45c7fc66cf4699e034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:54.329076+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11489.85, "started_at": "2026-05-19T15:38:42.838088+00:00", "ended_at": "2026-05-19T15:38:54.327964+00:00", "prompt_metrics": {"chars": 8093, "bytes_utf8": 8093, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 743, "bytes_utf8": 743, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14404, "cached_input_tokens": 12032, "output_tokens": 541, "reasoning_output_tokens": 335}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"heart_disease\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"avg_glucose_level\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"avg_glucose_level\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"avg_glucose_level\\\" AS REAL))) OVER (PARTITION BY \\\"heart_disease\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE \\\"avg_glucose_level\\\" <> '' AND \\\"bmi\\\" <> ''\\nGROUP BY \\\"heart_disease\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"heart_disease\\\", item_col=\\\"bmi\\\", and measure_col=\\\"avg_glucose_level\\\". Cast the measure to REAL because the schema stores it as TEXT, and filtered empty TEXT values for measure and item columns.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a033c390fbe0a5aa99e0c934747a4c0cbac9252 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c65e7d1a55bae35e", + "api_calls": 0, + "input_tokens": 14404, + "cached_input_tokens": 12032, + "output_tokens": 541, + "total_tokens": 14945, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11489.85, + "sql_execution_elapsed_ms_total": 8.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c65e7d1a55bae35e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5ae52f47f08b50b8dec7adaf28baccc066b4611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=gender, group_col_2=hypertension. +Result preview: [{"gender": "Female", "hypertension": "0", "row_count": 586}, {"gender": "Male", "hypertension": "0", "row_count": 483}, {"gender": "Female", "hypertension": "1", "row_count": 116}, {"gender": "Male", "hypertension": "1", "row_count": 93}, {"gender": "Other", "hypertension": "0", "row_count": 1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6c53003729694fed78848f653515743213a8be8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_c8c8170b9ca274b5 +-- problem_id: v2p_m7_2adc53111c2defee +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "hypertension", COUNT(*) AS row_count +FROM "m7" +WHERE CAST(NULLIF("avg_glucose_level", '') AS REAL) >= 114.09 +GROUP BY "gender", "hypertension" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48c7b809b453d23049b2d71b290571146ae97e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"gender\", \"hypertension\", COUNT(*) AS row_count\nFROM \"m7\"\nWHERE CAST(NULLIF(\"avg_glucose_level\", '') AS REAL) >= 114.09\nGROUP BY \"gender\", \"hypertension\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"gender\\\", \\\"hypertension\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL) >= 114.09\\nGROUP BY \\\"gender\\\", \\\"hypertension\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"gender\", \"hypertension\", \"row_count\"], \"rows\": [{\"gender\": \"Female\", \"hypertension\": \"0\", \"row_count\": 586}, {\"gender\": \"Male\", \"hypertension\": \"0\", \"row_count\": 483}, {\"gender\": \"Female\", \"hypertension\": \"1\", \"row_count\": 116}, {\"gender\": \"Male\", \"hypertension\": \"1\", \"row_count\": 93}, {\"gender\": \"Other\", \"hypertension\": \"0\", \"row_count\": 1}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eaafb55107403d1a3d203d244de914a41fa9bcee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:43:22.708447+00:00", + "ended_at": "2026-05-19T15:43:33.801191+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c8c8170b9ca274b5", + "problem_id": "v2p_m7_2adc53111c2defee", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=gender, group_col_2=hypertension.", + "bindings": { + "group_col": "gender", + "group_col_2": "hypertension", + "predicate_col": "avg_glucose_level", + "predicate_op": ">=", + "predicate_value": 114.09, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=56" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c8c8170b9ca274b5.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c8c8170b9ca274b5", + "api_calls": 0, + "input_tokens": 14375, + "cached_input_tokens": 12032, + "output_tokens": 489, + "total_tokens": 14864, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11085.67, + "sql_execution_elapsed_ms_total": 2.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f5b16ad408d1a0afd858fae02d476db88cc3be1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:33.796353+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11085.67, "started_at": "2026-05-19T15:43:22.709659+00:00", "ended_at": "2026-05-19T15:43:33.795360+00:00", "prompt_metrics": {"chars": 7987, "bytes_utf8": 7987, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 506, "bytes_utf8": 506, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14375, "cached_input_tokens": 12032, "output_tokens": 489, "reasoning_output_tokens": 358}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"gender\\\", \\\"hypertension\\\", COUNT(*) AS row_count\\nFROM \\\"m7\\\"\\nWHERE CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL) >= 114.09\\nGROUP BY \\\"gender\\\", \\\"hypertension\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with group_col=\\\"gender\\\", group_col_2=\\\"hypertension\\\", and predicate_col=\\\"avg_glucose_level\\\". Used CAST(NULLIF(...)) because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..efe51c36427025cbef89b5993b8b2aa6117fc2c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_c8c8170b9ca274b5", + "api_calls": 0, + "input_tokens": 14375, + "cached_input_tokens": 12032, + "output_tokens": 489, + "total_tokens": 14864, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11085.67, + "sql_execution_elapsed_ms_total": 2.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c8c8170b9ca274b5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..42fcd06b9677e1ba76d03af6680649a16b2d8663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:04:48.164057+00:00", + "ended_at": "2026-05-19T16:04:58.258239+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_c9b9c28d17f8d674", + "problem_id": "v2p_m7_dc28a8893e16678a", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=hypertension.", + "bindings": { + "group_col": "hypertension", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c66385613ca7a9711158e3c913f2e86f2fe01987 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_c9b9c28d17f8d674/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:51.255634+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3089.34, "started_at": "2026-05-19T16:04:48.165208+00:00", "ended_at": "2026-05-19T16:04:51.254582+00:00", "prompt_metrics": {"chars": 7657, "bytes_utf8": 7657, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-8ebf-7603-a1be-84356448fabf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:04:58.258151+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 5999.87, "started_at": "2026-05-19T16:04:52.257539+00:00", "ended_at": "2026-05-19T16:04:58.257454+00:00", "prompt_metrics": {"chars": 7657, "bytes_utf8": 7657, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-9ebe-76c0-a073-32b7ec85f927\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c32510eaedcba4b5a355c216e94cf112be1de4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "never smoked", "group_value": 203499.91}, {"smoking_status": "Unknown", "group_value": 153784.78}, {"smoking_status": "formerly smoked", "group_value": 99904.18}, {"smoking_status": "smokes", "group_value": 85225.76}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7994fb5436dbb9e951f3df66a2a9ca516aab73e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_cc21fd69662116ef +-- problem_id: v2p_m7_38edaf3a8e304d86 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "smoking_status", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS group_value + FROM "m7" + WHERE NULLIF("smoking_status", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + GROUP BY "smoking_status" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."smoking_status", + g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02195e470bd397e8e07c658a43b5f7597fe3f880 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"smoking_status\",\n SUM(CAST(NULLIF(\"avg_glucose_level\", '') AS REAL)) AS group_value\n FROM \"m7\"\n WHERE NULLIF(\"smoking_status\", '') IS NOT NULL\n AND NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n GROUP BY \"smoking_status\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"smoking_status\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"smoking_status\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"smoking_status\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n GROUP BY \\\"smoking_status\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"smoking_status\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"smoking_status\", \"group_value\"], \"rows\": [{\"smoking_status\": \"never smoked\", \"group_value\": 203499.91}, {\"smoking_status\": \"Unknown\", \"group_value\": 153784.78}, {\"smoking_status\": \"formerly smoked\", \"group_value\": 99904.18}, {\"smoking_status\": \"smokes\", \"group_value\": 85225.76}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..55042023575e8c5aaa52c71f99e57aead2b33e29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:48:58.918109+00:00", + "ended_at": "2026-05-19T15:49:16.046954+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_cc21fd69662116ef", + "problem_id": "v2p_m7_38edaf3a8e304d86", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cc21fd69662116ef.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_cc21fd69662116ef", + "api_calls": 0, + "input_tokens": 14424, + "cached_input_tokens": 13696, + "output_tokens": 729, + "total_tokens": 15153, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17122.09, + "sql_execution_elapsed_ms_total": 3.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12778e08ab4d4c52fca3954006da45703857f8c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:16.042127+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17122.09, "started_at": "2026-05-19T15:48:58.919269+00:00", "ended_at": "2026-05-19T15:49:16.041386+00:00", "prompt_metrics": {"chars": 8249, "bytes_utf8": 8249, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 817, "bytes_utf8": 817, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14424, "cached_input_tokens": 13696, "output_tokens": 729, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"smoking_status\\\",\\n SUM(CAST(NULLIF(\\\"avg_glucose_level\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"smoking_status\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n GROUP BY \\\"smoking_status\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"smoking_status\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"smoking_status\\\" and measure_col=\\\"avg_glucose_level\\\". Cast the text measure to REAL and filtered blank group/measure values for SQLite-safe aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d00a2d76f2abe60f4759b05ae9c0ac6a5999e68a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_cc21fd69662116ef", + "api_calls": 0, + "input_tokens": 14424, + "cached_input_tokens": 13696, + "output_tokens": 729, + "total_tokens": 15153, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17122.09, + "sql_execution_elapsed_ms_total": 3.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cc21fd69662116ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6cfce8f702dc873db0725308591cea62832347f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=work_type, condition_col=work_type. +Result preview: [{"work_type": "Self-employed", "condition_ratio": 0.0}, {"work_type": "Govt_job", "condition_ratio": null}, {"work_type": "Never_worked", "condition_ratio": null}, {"work_type": "Private", "condition_ratio": null}, {"work_type": "children", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..358329e83ed04da009040426e65a6a4c93e31fd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_cfe9ac8045db8000 +-- problem_id: v2p_m7_13d135ac2e571680 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "work_type", + SUM(CASE WHEN "work_type" = 'Private' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "work_type" = 'Self-employed' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "work_type" +) +SELECT "work_type", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4e6420d32412eb4259cb4e0e9d76574fdd23a119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions.\nWITH grouped AS (\n SELECT \"work_type\",\n SUM(CASE WHEN \"work_type\" = 'Private' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"work_type\" = 'Self-employed' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"work_type\"\n)\nSELECT \"work_type\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH grouped AS (\\n SELECT \\\"work_type\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Private' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"work_type\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n)\\nSELECT \\\"work_type\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"work_type\", \"condition_ratio\"], \"rows\": [{\"work_type\": \"Self-employed\", \"condition_ratio\": 0.0}, {\"work_type\": \"Govt_job\", \"condition_ratio\": null}, {\"work_type\": \"Never_worked\", \"condition_ratio\": null}, {\"work_type\": \"Private\", \"condition_ratio\": null}, {\"work_type\": \"children\", \"condition_ratio\": null}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a105f1b9da0d7cbc49cc4a9201aec653b35eb451 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:40:53.940127+00:00", + "ended_at": "2026-05-19T15:41:07.998685+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_cfe9ac8045db8000", + "problem_id": "v2p_m7_13d135ac2e571680", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=work_type, condition_col=work_type.", + "bindings": { + "group_col": "work_type", + "condition_col": "work_type", + "condition_value": "Private", + "positive_value": "Private", + "negative_value": "Self-employed", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=44" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cfe9ac8045db8000.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_cfe9ac8045db8000", + "api_calls": 0, + "input_tokens": 14490, + "cached_input_tokens": 12032, + "output_tokens": 535, + "total_tokens": 15025, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14047.42, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67a98151f616610b7b20b26b2ddcc934324deef2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:07.990099+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14047.42, "started_at": "2026-05-19T15:40:53.941046+00:00", "ended_at": "2026-05-19T15:41:07.988499+00:00", "prompt_metrics": {"chars": 8495, "bytes_utf8": 8495, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 787, "bytes_utf8": 787, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14490, "cached_input_tokens": 12032, "output_tokens": 535, "reasoning_output_tokens": 338}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH grouped AS (\\n SELECT \\\"work_type\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Private' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"work_type\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n)\\nSELECT \\\"work_type\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped-ratio template with group_col and condition_col both bound to \\\"work_type\\\". Because the grouping column matches the conditioned column, ratios will be 0 or NULL for most groups; NULLIF preserves SQLite compatibility by avoiding division by zero.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d527bc17f4e593830e86b018c8c650f232215491 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_cfe9ac8045db8000", + "api_calls": 0, + "input_tokens": 14490, + "cached_input_tokens": 12032, + "output_tokens": 535, + "total_tokens": 15025, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14047.42, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_cfe9ac8045db8000/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..635fb73ec83424a4c79738d2b01ea7707ea6c570 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Govt_job", "percentile_measure": 69792.0}, {"work_type": "Never_worked", "percentile_measure": 69559.0}, {"work_type": "Private", "percentile_measure": 69213.0}, {"work_type": "children", "percentile_measure": 68657.0}, {"work_type": "Self-employed", "percentile_measure": 68398.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..408a547501a43a743345a77de7cefafd05a89ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_d181dfb12e1102f6 +-- problem_id: v2p_m7_cfcdc0834aa6708d +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "work_type", + CAST("id" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "work_type" + ORDER BY CAST("id" AS REAL) + ) AS "cume_dist_value" + FROM "m7" + WHERE "work_type" IS NOT NULL + AND TRIM("work_type") <> '' + AND "id" IS NOT NULL + AND TRIM("id") <> '' +) +SELECT + "work_type", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist_value" >= 0.95 +GROUP BY "work_type" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f16d1f9e4df0b146cc66266d0cd6e1bbf4762292 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"work_type\",\n CAST(\"id\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"work_type\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"cume_dist_value\"\n FROM \"m7\"\n WHERE \"work_type\" IS NOT NULL\n AND TRIM(\"work_type\") <> ''\n AND \"id\" IS NOT NULL\n AND TRIM(\"id\") <> ''\n)\nSELECT\n \"work_type\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist_value\" >= 0.95\nGROUP BY \"work_type\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"work_type\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"work_type\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"work_type\\\" IS NOT NULL\\n AND TRIM(\\\"work_type\\\") <> ''\\n AND \\\"id\\\" IS NOT NULL\\n AND TRIM(\\\"id\\\") <> ''\\n)\\nSELECT\\n \\\"work_type\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.95\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"work_type\", \"percentile_measure\"], \"rows\": [{\"work_type\": \"Govt_job\", \"percentile_measure\": 69792.0}, {\"work_type\": \"Never_worked\", \"percentile_measure\": 69559.0}, {\"work_type\": \"Private\", \"percentile_measure\": 69213.0}, {\"work_type\": \"children\", \"percentile_measure\": 68657.0}, {\"work_type\": \"Self-employed\", \"percentile_measure\": 68398.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c5cbc64c4b98d68b9b13d7b68ae5995ebc029198 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:50:33.707117+00:00", + "ended_at": "2026-05-19T15:50:59.313835+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d181dfb12e1102f6", + "problem_id": "v2p_m7_cfcdc0834aa6708d", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=work_type, measure_col=id.", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d181dfb12e1102f6.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_d181dfb12e1102f6", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 12032, + "output_tokens": 1428, + "total_tokens": 15743, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25591.94, + "sql_execution_elapsed_ms_total": 11.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b45b8ce41a4b140db81374536ebd80118de3eae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:59.300771+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 25591.94, "started_at": "2026-05-19T15:50:33.707974+00:00", "ended_at": "2026-05-19T15:50:59.299937+00:00", "prompt_metrics": {"chars": 7830, "bytes_utf8": 7830, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 875, "bytes_utf8": 875, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 12032, "output_tokens": 1428, "reasoning_output_tokens": 1173}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"work_type\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"work_type\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"work_type\\\" IS NOT NULL\\n AND TRIM(\\\"work_type\\\") <> ''\\n AND \\\"id\\\" IS NOT NULL\\n AND TRIM(\\\"id\\\") <> ''\\n)\\nSELECT\\n \\\"work_type\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.95\\nGROUP BY \\\"work_type\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a SQLite-compatible grouped 95th-percentile proxy via CUME_DIST and returns the smallest casted numeric \\\"id\\\" value at or above the 0.95 cumulative distribution within each \\\"work_type\\\" group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bb8934fcc43d06791485d9b1618b3a05a83379a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_d181dfb12e1102f6", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 12032, + "output_tokens": 1428, + "total_tokens": 15743, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25591.94, + "sql_execution_elapsed_ms_total": 11.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d181dfb12e1102f6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..414bc6b80c8cd74553512a90525a7754ea48eeab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:09.103647+00:00", + "ended_at": "2026-05-19T16:09:16.805875+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_d53b176e96b7e699", + "problem_id": "v2p_m7_a7b57ab5a99f8fa3", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=work_type, measure_col=id.", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48651.76, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48a8075a604136f3c0a318edc7c1e0718d4a074f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_d53b176e96b7e699/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:12.384903+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3279.61, "started_at": "2026-05-19T16:09:09.104604+00:00", "ended_at": "2026-05-19T16:09:12.384235+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-89e2-71c1-b3d2-b5b7f6a18001\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:16.805790+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3418.77, "started_at": "2026-05-19T16:09:13.386306+00:00", "ended_at": "2026-05-19T16:09:16.805118+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-9ab6-7e22-b572-e2e4588fdf88\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0da025ce9f423528d4fd3d397d2697dd001ef57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=ever_married, group_col_2=smoking_status. +Result preview: [{"ever_married": "Yes", "smoking_status": "never smoked", "row_count": 349}, {"ever_married": "No", "smoking_status": "Unknown", "row_count": 219}, {"ever_married": "Yes", "smoking_status": "formerly smoked", "row_count": 185}, {"ever_married": "Yes", "smoking_status": "smokes", "row_count": 164}, {"ever_married": "Yes", "smoking_status": "Unknown", "row_count": 153}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4819fc9ca173d38b02f3e03fbcb0cb8f75208e4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_dc4011a1f7028e95 +-- problem_id: v2p_m7_881a3b4219c8f6d2 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", "smoking_status", COUNT(*) AS "row_count" +FROM "m7" +WHERE CAST("id" AS REAL) >= 54682.0 +GROUP BY "ever_married", "smoking_status" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e53fa0d68315d0d639f77923de49b9b86fbbaf2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"ever_married\", \"smoking_status\", COUNT(*) AS \"row_count\"\nFROM \"m7\"\nWHERE CAST(\"id\" AS REAL) >= 54682.0\nGROUP BY \"ever_married\", \"smoking_status\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"ever_married\\\", \\\"smoking_status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nWHERE CAST(\\\"id\\\" AS REAL) >= 54682.0\\nGROUP BY \\\"ever_married\\\", \\\"smoking_status\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"ever_married\", \"smoking_status\", \"row_count\"], \"rows\": [{\"ever_married\": \"Yes\", \"smoking_status\": \"never smoked\", \"row_count\": 349}, {\"ever_married\": \"No\", \"smoking_status\": \"Unknown\", \"row_count\": 219}, {\"ever_married\": \"Yes\", \"smoking_status\": \"formerly smoked\", \"row_count\": 185}, {\"ever_married\": \"Yes\", \"smoking_status\": \"smokes\", \"row_count\": 164}, {\"ever_married\": \"Yes\", \"smoking_status\": \"Unknown\", \"row_count\": 153}, {\"ever_married\": \"No\", \"smoking_status\": \"never smoked\", \"row_count\": 131}, {\"ever_married\": \"No\", \"smoking_status\": \"smokes\", \"row_count\": 40}, {\"ever_married\": \"No\", \"smoking_status\": \"formerly smoked\", \"row_count\": 37}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.65}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fa6624382ecfaa5b3e6bb8c20d8a3d8773768660 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:41:07.999925+00:00", + "ended_at": "2026-05-19T15:41:18.569643+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_dc4011a1f7028e95", + "problem_id": "v2p_m7_881a3b4219c8f6d2", + "dataset_id": "m7", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=ever_married, group_col_2=smoking_status.", + "bindings": { + "group_col": "ever_married", + "group_col_2": "smoking_status", + "predicate_col": "id", + "predicate_op": ">=", + "predicate_value": 54682.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=48" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dc4011a1f7028e95.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_dc4011a1f7028e95", + "api_calls": 0, + "input_tokens": 14379, + "cached_input_tokens": 13696, + "output_tokens": 420, + "total_tokens": 14799, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10559.53, + "sql_execution_elapsed_ms_total": 3.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bedc51cb4d307cf760400c52f1e0c7aa90b1774e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:18.563205+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10559.53, "started_at": "2026-05-19T15:41:08.002003+00:00", "ended_at": "2026-05-19T15:41:18.561580+00:00", "prompt_metrics": {"chars": 7989, "bytes_utf8": 7989, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 422, "bytes_utf8": 422, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14379, "cached_input_tokens": 13696, "output_tokens": 420, "reasoning_output_tokens": 298}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"ever_married\\\", \\\"smoking_status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m7\\\"\\nWHERE CAST(\\\"id\\\" AS REAL) >= 54682.0\\nGROUP BY \\\"ever_married\\\", \\\"smoking_status\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the required template with bound roles. CAST(\\\"id\\\" AS REAL) is applied because the schema stores \\\"id\\\" as TEXT, but the predicate value is numeric.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..56fba64d91d24efb04ef76cb1424074ddbda179e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_dc4011a1f7028e95", + "api_calls": 0, + "input_tokens": 14379, + "cached_input_tokens": 13696, + "output_tokens": 420, + "total_tokens": 14799, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10559.53, + "sql_execution_elapsed_ms_total": 3.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_dc4011a1f7028e95/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4e6d3795a34bab2da74f1d69413292955ef17f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=gender, condition_col=gender. +Result preview: [{"gender": "Male", "condition_ratio": 0.0}, {"gender": "Female", "condition_ratio": null}, {"gender": "Other", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d0fe1e84f733ad5df3f7715612e17fca8d55013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_deda9bb27b676502 +-- problem_id: v2p_m7_ea41f0368617dec2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", + SUM(CASE WHEN "gender" = 'Female' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "gender" = 'Male' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "gender" +) +SELECT "gender", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..21e4415ec640cbd786a70ee0546e364d7f21c452 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"gender\",\n SUM(CASE WHEN \"gender\" = 'Female' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"gender\" = 'Male' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"gender\"\n)\nSELECT \"gender\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"gender\\\",\\n SUM(CASE WHEN \\\"gender\\\" = 'Female' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"gender\\\" = 'Male' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n)\\nSELECT \\\"gender\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"gender\", \"condition_ratio\"], \"rows\": [{\"gender\": \"Male\", \"condition_ratio\": 0.0}, {\"gender\": \"Female\", \"condition_ratio\": null}, {\"gender\": \"Other\", \"condition_ratio\": null}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d2b8bcdf46c2460d62b1b3ef3df5ad0071d85c88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:40:03.100120+00:00", + "ended_at": "2026-05-19T15:40:15.197201+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_deda9bb27b676502", + "problem_id": "v2p_m7_ea41f0368617dec2", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=gender, condition_col=gender.", + "bindings": { + "group_col": "gender", + "condition_col": "gender", + "condition_value": "Female", + "positive_value": "Female", + "negative_value": "Male", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=40" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_deda9bb27b676502.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_deda9bb27b676502", + "api_calls": 0, + "input_tokens": 14485, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 14866, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12090.11, + "sql_execution_elapsed_ms_total": 2.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2cfdac3a252fd6ea83a1b2a57b1384a765cddfba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:15.192720+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12090.11, "started_at": "2026-05-19T15:40:03.101695+00:00", "ended_at": "2026-05-19T15:40:15.191835+00:00", "prompt_metrics": {"chars": 8472, "bytes_utf8": 8472, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 668, "bytes_utf8": 668, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14485, "cached_input_tokens": 12032, "output_tokens": 381, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"gender\\\",\\n SUM(CASE WHEN \\\"gender\\\" = 'Female' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"gender\\\" = 'Male' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"gender\\\"\\n)\\nSELECT \\\"gender\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped ratio template with group_col=\\\"gender\\\" and condition_col=\\\"gender\\\", using 'Female' as the numerator condition and 'Male' as the denominator condition.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..41cce42b1b069929a2bdc4b6f162ddd288f3f04e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_deda9bb27b676502", + "api_calls": 0, + "input_tokens": 14485, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 14866, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12090.11, + "sql_execution_elapsed_ms_total": 2.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_deda9bb27b676502/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..81743a288566690d071e12d3a5ed2ca88a78aa78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id. +Result preview: [{"work_type": "Never_worked", "avg_measure": 38274.40909090909}, {"work_type": "Private", "avg_measure": 36951.22700854701}, {"work_type": "Govt_job", "avg_measure": 36516.93607305936}, {"work_type": "children", "avg_measure": 35769.43231441048}, {"work_type": "Self-employed", "avg_measure": 35551.28815628816}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..688aa1671590c9c0411059293539f22f351adde3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_df39f1f88b6adb30 +-- problem_id: v2p_m7_50334caee49947ac +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "work_type", + AVG(CAST("id" AS REAL)) OVER (PARTITION BY "work_type") AS avg_measure +FROM "m7" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2824463bd29e16d5e376b714464a523e1832c2b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"work_type\",\n AVG(CAST(\"id\" AS REAL)) OVER (PARTITION BY \"work_type\") AS avg_measure\nFROM \"m7\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"work_type\\\",\\n AVG(CAST(\\\"id\\\" AS REAL)) OVER (PARTITION BY \\\"work_type\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"work_type\", \"avg_measure\"], \"rows\": [{\"work_type\": \"Never_worked\", \"avg_measure\": 38274.40909090909}, {\"work_type\": \"Private\", \"avg_measure\": 36951.22700854701}, {\"work_type\": \"Govt_job\", \"avg_measure\": 36516.93607305936}, {\"work_type\": \"children\", \"avg_measure\": 35769.43231441048}, {\"work_type\": \"Self-employed\", \"avg_measure\": 35551.28815628816}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f5a017768e351826f58f27a483ee6d4a9fa013e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:08:58.127134+00:00", + "ended_at": "2026-05-19T16:09:09.103121+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_df39f1f88b6adb30", + "problem_id": "v2p_m7_50334caee49947ac", + "dataset_id": "m7", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=work_type, measure_col=id.", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df39f1f88b6adb30.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_df39f1f88b6adb30", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 14752, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10961.53, + "sql_execution_elapsed_ms_total": 10.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..751d04683faa477e3a9372f4f2547ce7cb0305c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:09:09.091096+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10961.53, "started_at": "2026-05-19T16:08:58.128567+00:00", "ended_at": "2026-05-19T16:09:09.090121+00:00", "prompt_metrics": {"chars": 7737, "bytes_utf8": 7737, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14289, "cached_input_tokens": 12032, "output_tokens": 463, "reasoning_output_tokens": 347}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"work_type\\\",\\n AVG(CAST(\\\"id\\\" AS REAL)) OVER (PARTITION BY \\\"work_type\\\") AS avg_measure\\nFROM \\\"m7\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"work_type\\\" and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS REAL) is used because the schema stores \\\"id\\\" as TEXT, and SQLite AVG requires numeric coercion for stable results.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..edba4cc866fb245c63d96fa8fd21b37c4779f00c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_df39f1f88b6adb30", + "api_calls": 0, + "input_tokens": 14289, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 14752, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10961.53, + "sql_execution_elapsed_ms_total": 10.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_df39f1f88b6adb30/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..55f4d9bba9d0ea9dda281ab8d32e229b8786c01a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:04:41.195569+00:00", + "ended_at": "2026-05-19T16:04:48.163690+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e08b916dffebc4ca", + "problem_id": "v2p_m7_bed5601867968139", + "dataset_id": "m7", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hypertension.", + "bindings": { + "group_col": "hypertension", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d100ca8adf8f234016c6b71aabb1766e221bf29a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e08b916dffebc4ca/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:44.272857+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3074.54, "started_at": "2026-05-19T16:04:41.197608+00:00", "ended_at": "2026-05-19T16:04:44.272183+00:00", "prompt_metrics": {"chars": 7655, "bytes_utf8": 7655, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-7364-7372-9766-8671bcbe6405\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:04:48.163604+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2888.66, "started_at": "2026-05-19T16:04:45.274198+00:00", "ended_at": "2026-05-19T16:04:48.162896+00:00", "prompt_metrics": {"chars": 7655, "bytes_utf8": 7655, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-837a-7250-af31-fd05e8a575a5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f01215573038a82c49b0d3ebce5c9ca6e47b9f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level. +Result preview: [{"smoking_status": "formerly smoked", "percentile_measure": 209.404}, {"smoking_status": "smokes", "percentile_measure": 198.71}, {"smoking_status": "never smoked", "percentile_measure": 195.41200000000003}, {"smoking_status": "Unknown", "percentile_measure": 144.79600000000005}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..56e726f8d55e37585c8b953d25cb358ac0a369eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/generated_sql.sql @@ -0,0 +1,69 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_e2f329879d8e6a81 +-- problem_id: v2p_m7_af1b808818de5986 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "smoking_status" AS "group_col", + CAST("avg_glucose_level" AS REAL) AS "measure" + FROM "m7" + WHERE "smoking_status" IS NOT NULL + AND "smoking_status" <> '' + AND "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' +), +"ranked" AS ( + SELECT + "group_col", + "measure", + ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure") AS "rn", + COUNT(*) OVER (PARTITION BY "group_col") AS "n" + FROM "base" +), +"params" AS ( + SELECT DISTINCT + "group_col", + "n", + 1.0 + 0.9 * ("n" - 1) AS "h", + CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) AS "lo_rn", + CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + CASE + WHEN (1.0 + 0.9 * ("n" - 1)) > CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) THEN 1 + ELSE 0 + END AS "hi_rn" + FROM "ranked" + WHERE "n" >= 5 +), +"picked" AS ( + SELECT + p."group_col", + p."h", + p."lo_rn", + p."hi_rn", + MAX(CASE WHEN r."rn" = p."lo_rn" THEN r."measure" END) AS "lo_val", + MAX(CASE WHEN r."rn" = p."hi_rn" THEN r."measure" END) AS "hi_val" + FROM "params" AS p + JOIN "ranked" AS r + ON r."group_col" = p."group_col" + GROUP BY + p."group_col", + p."h", + p."lo_rn", + p."hi_rn" +) +SELECT + "group_col" AS "smoking_status", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_val" + ELSE "lo_val" + ("h" - "lo_rn") * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb39a58f143dc46221c70432307aa4daea98ff1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"smoking_status\" AS \"group_col\",\n CAST(\"avg_glucose_level\" AS REAL) AS \"measure\"\n FROM \"m7\"\n WHERE \"smoking_status\" IS NOT NULL\n AND \"smoking_status\" <> ''\n AND \"avg_glucose_level\" IS NOT NULL\n AND \"avg_glucose_level\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"group_col\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"group_col\") AS \"n\"\n FROM \"base\"\n),\n\"params\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"n\",\n 1.0 + 0.9 * (\"n\" - 1) AS \"h\",\n CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) AS \"lo_rn\",\n CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) + CASE\n WHEN (1.0 + 0.9 * (\"n\" - 1)) > CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) THEN 1\n ELSE 0\n END AS \"hi_rn\"\n FROM \"ranked\"\n WHERE \"n\" >= 5\n),\n\"picked\" AS (\n SELECT\n p.\"group_col\",\n p.\"h\",\n p.\"lo_rn\",\n p.\"hi_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lo_rn\" THEN r.\"measure\" END) AS \"lo_val\",\n MAX(CASE WHEN r.\"rn\" = p.\"hi_rn\" THEN r.\"measure\" END) AS \"hi_val\"\n FROM \"params\" AS p\n JOIN \"ranked\" AS r\n ON r.\"group_col\" = p.\"group_col\"\n GROUP BY\n p.\"group_col\",\n p.\"h\",\n p.\"lo_rn\",\n p.\"hi_rn\"\n)\nSELECT\n \"group_col\" AS \"smoking_status\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_val\"\n ELSE \"lo_val\" + (\"h\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"smoking_status\\\" AS \\\"group_col\\\",\\n CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"smoking_status\\\" IS NOT NULL\\n AND \\\"smoking_status\\\" <> ''\\n AND \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n 1.0 + 0.9 * (\\\"n\\\" - 1) AS \\\"h\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) AS \\\"lo_rn\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) > CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"group_col\\\",\\n p.\\\"h\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lo_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"hi_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"hi_val\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\n GROUP BY\\n p.\\\"group_col\\\",\\n p.\\\"h\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"smoking_status\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"h\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"smoking_status\", \"percentile_measure\"], \"rows\": [{\"smoking_status\": \"formerly smoked\", \"percentile_measure\": 209.404}, {\"smoking_status\": \"smokes\", \"percentile_measure\": 198.71}, {\"smoking_status\": \"never smoked\", \"percentile_measure\": 195.41200000000003}, {\"smoking_status\": \"Unknown\", \"percentile_measure\": 144.79600000000005}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 25.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1fb3f82d8d7462406b69d7f82d70dd4cdc0a4106 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:53:25.519063+00:00", + "ended_at": "2026-05-19T15:54:12.573444+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e2f329879d8e6a81", + "problem_id": "v2p_m7_af1b808818de5986", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=smoking_status, measure_col=avg_glucose_level.", + "bindings": { + "group_col": "smoking_status", + "measure_col": "avg_glucose_level", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 104.0794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e2f329879d8e6a81.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_e2f329879d8e6a81", + "api_calls": 0, + "input_tokens": 14324, + "cached_input_tokens": 13696, + "output_tokens": 3491, + "total_tokens": 17815, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 47024.4, + "sql_execution_elapsed_ms_total": 25.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c1a54bb0fedf5275cd8f7451d84301fac2ca7eba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:12.545565+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 47024.4, "started_at": "2026-05-19T15:53:25.520064+00:00", "ended_at": "2026-05-19T15:54:12.544498+00:00", "prompt_metrics": {"chars": 7871, "bytes_utf8": 7871, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1883, "bytes_utf8": 1883, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14324, "cached_input_tokens": 13696, "output_tokens": 3491, "reasoning_output_tokens": 2825}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"smoking_status\\\" AS \\\"group_col\\\",\\n CAST(\\\"avg_glucose_level\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m7\\\"\\n WHERE \\\"smoking_status\\\" IS NOT NULL\\n AND \\\"smoking_status\\\" <> ''\\n AND \\\"avg_glucose_level\\\" IS NOT NULL\\n AND \\\"avg_glucose_level\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n 1.0 + 0.9 * (\\\"n\\\" - 1) AS \\\"h\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) AS \\\"lo_rn\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) > CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5c4b43c1e30ed27ed84140b5fa7912e1ddce58e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_e2f329879d8e6a81", + "api_calls": 0, + "input_tokens": 14324, + "cached_input_tokens": 13696, + "output_tokens": 3491, + "total_tokens": 17815, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 47024.4, + "sql_execution_elapsed_ms_total": 25.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e2f329879d8e6a81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7483393f7c1c42be4377c86dc9a828b97691554 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=stroke, measure_col=bmi. +Result preview: [{"stroke": "0", "group_value": 135468.4}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca65a0492d4941f78c6bb681be52391cf06bc1e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_e5b7fcd17fd34e8e +-- problem_id: v2p_m7_39a3463e49b99e7a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "stroke", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "stroke" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."stroke", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b25b8e67ddb9fee67f07eea5513b454818128a0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"stroke\", SUM(CAST(NULLIF(\"bmi\", '') AS REAL)) AS group_value\n FROM \"m7\"\n GROUP BY \"stroke\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"stroke\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"stroke\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"stroke\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"stroke\", \"group_value\"], \"rows\": [{\"stroke\": \"0\", \"group_value\": 135468.4}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..39e3f39bca1822a8c20d9560b6f296264759fe77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:49:31.672762+00:00", + "ended_at": "2026-05-19T15:49:41.641775+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e5b7fcd17fd34e8e", + "problem_id": "v2p_m7_39a3463e49b99e7a", + "dataset_id": "m7", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=stroke, measure_col=bmi.", + "bindings": { + "group_col": "stroke", + "measure_col": "bmi", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 31.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e5b7fcd17fd34e8e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_e5b7fcd17fd34e8e", + "api_calls": 0, + "input_tokens": 14412, + "cached_input_tokens": 13696, + "output_tokens": 453, + "total_tokens": 14865, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9962.74, + "sql_execution_elapsed_ms_total": 2.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73def10b7fdf9ea3aaf140952d9fac284f8d5956 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:41.637794+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9962.74, "started_at": "2026-05-19T15:49:31.674198+00:00", "ended_at": "2026-05-19T15:49:41.636967+00:00", "prompt_metrics": {"chars": 8200, "bytes_utf8": 8200, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 695, "bytes_utf8": 695, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14412, "cached_input_tokens": 13696, "output_tokens": 453, "reasoning_output_tokens": 269}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"stroke\\\", SUM(CAST(NULLIF(\\\"bmi\\\", '') AS REAL)) AS group_value\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"stroke\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"stroke\\\" and measure_col=\\\"bmi\\\". Since \\\"bmi\\\" is stored as TEXT and may contain empty strings, the query converts non-empty values to REAL with CAST(NULLIF(...)) so SQLite sums valid numeric BMI values only.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22cd4484dd875f72cb9cbabe3f3f423d0f3c5281 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_e5b7fcd17fd34e8e", + "api_calls": 0, + "input_tokens": 14412, + "cached_input_tokens": 13696, + "output_tokens": 453, + "total_tokens": 14865, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9962.74, + "sql_execution_elapsed_ms_total": 2.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e5b7fcd17fd34e8e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..aeaa9a69441a2b0c0454815d36becd44b303b761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4834, "support_share": 0.9459882583170255, "cumulative_support": 4834}, {"value_label": "1", "support": 276, "support_share": 0.05401174168297456, "cumulative_support": 5110}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..561424087cbc8e5238095828cd596dd5699a62e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_e686eeace0d8a58a +-- problem_id: v2p_m7_c7fa7f8c4d2d8d99 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "heart_disease" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "heart_disease" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ee3870edf56e6a963875bc9ef07ed7b1910869f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m7_e686eeace0d8a58a\n-- problem_id: v2p_m7_c7fa7f8c4d2d8d99\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"heart_disease\" AS value_label, COUNT(*) AS support\n FROM \"m7\"\n GROUP BY \"heart_disease\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m7_e686eeace0d8a58a\\n-- problem_id: v2p_m7_c7fa7f8c4d2d8d99\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"heart_disease\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m7\\\"\\n GROUP BY \\\"heart_disease\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4834, \"support_share\": 0.9459882583170255, \"cumulative_support\": 4834}, {\"value_label\": \"1\", \"support\": 276, \"support_share\": 0.05401174168297456, \"cumulative_support\": 5110}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..19c664d2cfdf6a92a99528a3efb67072adec4fb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.865227+00:00", + "ended_at": "2026-05-19T16:09:16.867289+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_e686eeace0d8a58a", + "problem_id": "v2p_m7_c7fa7f8c4d2d8d99", + "dataset_id": "m7", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=heart_disease.", + "bindings": { + "group_col": "heart_disease" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e686eeace0d8a58a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_e686eeace0d8a58a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fdf7d13b50b653804979a33e65a9f5bbf7c9b79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "total_measure": 113035.36}, {"Residence_type": "Rural", "total_measure": 107852.64}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e4bd9c7e79cbc1c09ed403bae2a4fe48bafd1dfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_ea8a74383453f631 +-- problem_id: v2p_m7_9a6d4b0eb5ce4944 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "Residence_type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb6d7259638d2d5032c6c67a982da06aba0874e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"Residence_type\", SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure\nFROM \"m7\"\nGROUP BY \"Residence_type\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Residence_type\", \"total_measure\"], \"rows\": [{\"Residence_type\": \"Urban\", \"total_measure\": 113035.36}, {\"Residence_type\": \"Rural\", \"total_measure\": 107852.64}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2eff87f65b14256f8237cfec84b5618c15db57ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:30:31.772925+00:00", + "ended_at": "2026-05-19T15:30:44.750265+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ea8a74383453f631", + "problem_id": "v2p_m7_9a6d4b0eb5ce4944", + "dataset_id": "m7", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 55.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ea8a74383453f631.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ea8a74383453f631", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 337, + "total_tokens": 14614, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12970.2, + "sql_execution_elapsed_ms_total": 2.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..86c4d5943bb9b26a1b29265ef48390b864987749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:44.746039+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12970.2, "started_at": "2026-05-19T15:30:31.774977+00:00", "ended_at": "2026-05-19T15:30:44.745232+00:00", "prompt_metrics": {"chars": 7662, "bytes_utf8": 7662, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14277, "cached_input_tokens": 12032, "output_tokens": 337, "reasoning_output_tokens": 222}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Residence_type\\\", SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m7\\\"\\nGROUP BY \\\"Residence_type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required Grouped Numeric Sum template with group_col bound to \\\"Residence_type\\\" and measure_col bound to \\\"age\\\". \\\"age\\\" is cast from TEXT to REAL, and empty strings are treated as NULL so SUM remains numeric and SQLite-compatible.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a9a78cd3dfc13448cb640e04307e3c98116a30ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_ea8a74383453f631", + "api_calls": 0, + "input_tokens": 14277, + "cached_input_tokens": 12032, + "output_tokens": 337, + "total_tokens": 14614, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12970.2, + "sql_execution_elapsed_ms_total": 2.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ea8a74383453f631/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..314b179e407fbe373701bf42a3b7c945f443dbd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"work_type": "Private", "total_rows": 2925, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "Self-employed", "total_rows": 819, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "children", "total_rows": 687, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "Govt_job", "total_rows": 657, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "Never_worked", "total_rows": 22, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a136472cbf63a8e4886a9c3663a535ee8a37494e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_ec97681ad9c96bad +-- problem_id: v2p_m7_d1f70fac73cf24a7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "work_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "work_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..83b1885b65ad28ecb9269f8b458b28d062673e87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_ec97681ad9c96bad\n-- problem_id: v2p_m7_d1f70fac73cf24a7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"work_type\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_ec97681ad9c96bad\\n-- problem_id: v2p_m7_d1f70fac73cf24a7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"work_type\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"work_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"work_type\": \"Private\", \"total_rows\": 2925, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"Self-employed\", \"total_rows\": 819, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"children\", \"total_rows\": 687, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"Govt_job\", \"total_rows\": 657, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"Never_worked\", \"total_rows\": 22, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..605aba6d04558ae6a349543ce560c9863fa7203b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.822508+00:00", + "ended_at": "2026-05-19T16:09:16.825542+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ec97681ad9c96bad", + "problem_id": "v2p_m7_d1f70fac73cf24a7", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=work_type, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "work_type" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ec97681ad9c96bad.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ec97681ad9c96bad/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a8cfa47a92062a77f233603e797ce44967a3f97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bmi": "", "support": 201, "avg_response": 52.04915422885572}, {"bmi": "28.7", "support": 41, "avg_response": 49.0}, {"bmi": "28.4", "support": 38, "avg_response": 46.421052631578945}, {"bmi": "26.7", "support": 37, "avg_response": 53.62162162162162}, {"bmi": "27.7", "support": 37, "avg_response": 49.891891891891895}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4abcc258e5cee4c59e82e364713a9b7418c8d664 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_efe585d524d69d6d +-- problem_id: v2p_m7_e138e5b6f4e9fc54 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m7" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8116da9fa4683ff46bdf6abaadf5d2bf3631e5f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m7_efe585d524d69d6d\n-- problem_id: v2p_m7_e138e5b6f4e9fc54\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bmi\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m7\"\nGROUP BY \"bmi\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m7_efe585d524d69d6d\\n-- problem_id: v2p_m7_e138e5b6f4e9fc54\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bmi\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m7\\\"\\nGROUP BY \\\"bmi\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"bmi\", \"support\", \"avg_response\"], \"rows\": [{\"bmi\": \"\", \"support\": 201, \"avg_response\": 52.04915422885572}, {\"bmi\": \"28.7\", \"support\": 41, \"avg_response\": 49.0}, {\"bmi\": \"28.4\", \"support\": 38, \"avg_response\": 46.421052631578945}, {\"bmi\": \"26.7\", \"support\": 37, \"avg_response\": 53.62162162162162}, {\"bmi\": \"27.7\", \"support\": 37, \"avg_response\": 49.891891891891895}, {\"bmi\": \"26.1\", \"support\": 37, \"avg_response\": 48.054054054054056}, {\"bmi\": \"27.6\", \"support\": 37, \"avg_response\": 46.810810810810814}, {\"bmi\": \"27.3\", \"support\": 36, \"avg_response\": 48.388888888888886}, {\"bmi\": \"23.4\", \"support\": 36, \"avg_response\": 34.857777777777784}, {\"bmi\": \"27\", \"support\": 35, \"avg_response\": 51.68571428571428}, {\"bmi\": \"26.4\", \"support\": 34, \"avg_response\": 49.11764705882353}, {\"bmi\": \"26.9\", \"support\": 34, \"avg_response\": 47.38235294117647}, {\"bmi\": \"25.1\", \"support\": 34, \"avg_response\": 38.470588235294116}, {\"bmi\": \"25.5\", \"support\": 33, \"avg_response\": 46.484848484848484}, {\"bmi\": \"28.9\", \"support\": 31, \"avg_response\": 52.774193548387096}, {\"bmi\": \"23.5\", \"support\": 31, \"avg_response\": 37.645161290322584}, {\"bmi\": \"24.8\", \"support\": 31, \"avg_response\": 37.096774193548384}, {\"bmi\": \"31.4\", \"support\": 30, \"avg_response\": 55.666666666666664}, {\"bmi\": \"29.4\", \"support\": 30, \"avg_response\": 53.56666666666667}, {\"bmi\": \"30.3\", \"support\": 30, \"avg_response\": 51.733333333333334}, {\"bmi\": \"28.3\", \"support\": 30, \"avg_response\": 50.233333333333334}, {\"bmi\": \"26.5\", \"support\": 30, \"avg_response\": 47.43333333333333}, {\"bmi\": \"22.2\", \"support\": 30, \"avg_response\": 41.8}, {\"bmi\": \"27.5\", \"support\": 29, \"avg_response\": 52.310344827586206}, {\"bmi\": \"29.1\", \"support\": 29, \"avg_response\": 51.758620689655174}, {\"bmi\": \"26.6\", \"support\": 29, \"avg_response\": 48.827586206896555}, {\"bmi\": \"28.1\", \"support\": 29, \"avg_response\": 47.48275862068966}, {\"bmi\": \"24.2\", \"support\": 29, \"avg_response\": 43.310344827586206}, {\"bmi\": \"27.1\", \"support\": 28, \"avg_response\": 51.392857142857146}, {\"bmi\": \"28\", \"support\": 28, \"avg_response\": 50.75}, {\"bmi\": \"32.3\", \"support\": 28, \"avg_response\": 48.75}, {\"bmi\": \"25.3\", \"support\": 28, \"avg_response\": 46.67857142857143}, {\"bmi\": \"24.1\", \"support\": 28, \"avg_response\": 45.607142857142854}, {\"bmi\": \"27.9\", \"support\": 28, \"avg_response\": 44.892857142857146}, {\"bmi\": \"24\", \"support\": 28, \"avg_response\": 40.5}, {\"bmi\": \"28.5\", \"support\": 27, \"avg_response\": 57.51851851851852}, {\"bmi\": \"30\", \"support\": 27, \"avg_response\": 55.148148148148145}, {\"bmi\": \"25\", \"support\": 27, \"avg_response\": 54.51851851851852}, {\"bmi\": \"29.7\", \"support\": 27, \"avg_response\": 54.51851851851852}, {\"bmi\": \"31.5\", \"support\": 27, \"avg_response\": 53.51851851851852}, {\"bmi\": \"30.9\", \"support\": 27, \"avg_response\": 49.51851851851852}, {\"bmi\": \"26.2\", \"support\": 27, \"avg_response\": 47.074074074074076}, {\"bmi\": \"28.6\", \"support\": 27, \"avg_response\": 45.666666666666664}, {\"bmi\": \"23\", \"support\": 27, \"avg_response\": 39.54518518518518}, {\"bmi\": \"24.9\", \"support\": 27, \"avg_response\": 38.50518518518519}, {\"bmi\": \"21.5\", \"support\": 27, \"avg_response\": 37.194074074074074}, {\"bmi\": \"29.5\", \"support\": 26, \"avg_response\": 56.26923076923077}, {\"bmi\": \"30.1\", \"support\": 26, \"avg_response\": 54.19230769230769}, {\"bmi\": \"28.8\", \"support\": 26, \"avg_response\": 52.19230769230769}, {\"bmi\": \"29.2\", \"support\": 26, \"avg_response\": 52.03846153846154}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..453bf96ee769f4538f5dd40924882aaee735a1ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.943906+00:00", + "ended_at": "2026-05-19T16:09:16.947415+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_efe585d524d69d6d", + "problem_id": "v2p_m7_e138e5b6f4e9fc54", + "dataset_id": "m7", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=bmi.", + "bindings": { + "key_col": "bmi", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_efe585d524d69d6d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_efe585d524d69d6d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6cfce8f702dc873db0725308591cea62832347f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=work_type, condition_col=work_type. +Result preview: [{"work_type": "Self-employed", "condition_ratio": 0.0}, {"work_type": "Govt_job", "condition_ratio": null}, {"work_type": "Never_worked", "condition_ratio": null}, {"work_type": "Private", "condition_ratio": null}, {"work_type": "children", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2cea3fb174f6a03f38b2397ef2dfe3aa209ccc7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_f221bc2687d7840e +-- problem_id: v2p_m7_e34921febcaef73f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "work_type", + SUM(CASE WHEN "work_type" = 'Private' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "work_type" = 'Self-employed' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m7" + GROUP BY "work_type" +) +SELECT "work_type", + CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio" +FROM grouped +ORDER BY "condition_ratio" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fcdef71914f01cdfeec78d83a2be01c3877a6cc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"work_type\",\n SUM(CASE WHEN \"work_type\" = 'Private' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"work_type\" = 'Self-employed' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m7\"\n GROUP BY \"work_type\"\n)\nSELECT \"work_type\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM grouped\nORDER BY \"condition_ratio\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"work_type\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Private' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n)\\nSELECT \\\"work_type\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"work_type\", \"condition_ratio\"], \"rows\": [{\"work_type\": \"Self-employed\", \"condition_ratio\": 0.0}, {\"work_type\": \"Govt_job\", \"condition_ratio\": null}, {\"work_type\": \"Never_worked\", \"condition_ratio\": null}, {\"work_type\": \"Private\", \"condition_ratio\": null}, {\"work_type\": \"children\", \"condition_ratio\": null}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad8bc929bd697431327171897378de4f8b13c623 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:39:06.438192+00:00", + "ended_at": "2026-05-19T15:39:21.964156+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_f221bc2687d7840e", + "problem_id": "v2p_m7_e34921febcaef73f", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=work_type, condition_col=work_type.", + "bindings": { + "group_col": "work_type", + "condition_col": "work_type", + "condition_value": "Private", + "positive_value": "Private", + "negative_value": "Self-employed", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=36" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f221bc2687d7840e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_f221bc2687d7840e", + "api_calls": 0, + "input_tokens": 14490, + "cached_input_tokens": 12032, + "output_tokens": 598, + "total_tokens": 15088, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15518.91, + "sql_execution_elapsed_ms_total": 3.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1f0835ae1c095d5ea32472550e09485a2768f6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:21.958814+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15518.91, "started_at": "2026-05-19T15:39:06.439116+00:00", "ended_at": "2026-05-19T15:39:21.958051+00:00", "prompt_metrics": {"chars": 8495, "bytes_utf8": 8495, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 775, "bytes_utf8": 775, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14490, "cached_input_tokens": 12032, "output_tokens": 598, "reasoning_output_tokens": 397}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"work_type\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Private' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"work_type\\\" = 'Self-employed' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m7\\\"\\n GROUP BY \\\"work_type\\\"\\n)\\nSELECT \\\"work_type\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Applied the provided template with group_col and condition_col both bound to \\\"work_type\\\". Because the grouping column and condition column are the same, groups other than 'Self-employed' will have a zero denominator and yield NULL ratios.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..068a18c7e5346ec7c3e51e42ae2f54f9e08eb6ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_f221bc2687d7840e", + "api_calls": 0, + "input_tokens": 14490, + "cached_input_tokens": 12032, + "output_tokens": 598, + "total_tokens": 15088, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15518.91, + "sql_execution_elapsed_ms_total": 3.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f221bc2687d7840e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..53dcb3b3c09684c139790ae318ff9a0196d3f255 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=stroke, condition_col=stroke. +Result preview: [{"stroke": "1", "condition_ratio": 0.0}, {"stroke": "0", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8127eee1395564206d8a5ccbded1ebc8ad088d30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_f2f2779a92ddbb85 +-- problem_id: v2p_m7_78cdeac66cfc98f2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "stroke", + SUM(CASE WHEN "stroke" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "stroke" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "stroke" +) +SELECT "stroke", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7adc71b46c7f28ac395c308409ca6e82e134b611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"stroke\",\n SUM(CASE WHEN \"stroke\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"stroke\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m7\"\n GROUP BY \"stroke\"\n)\nSELECT \"stroke\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"stroke\\\",\\n SUM(CASE WHEN \\\"stroke\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"stroke\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n)\\nSELECT \\\"stroke\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"stroke\", \"condition_ratio\"], \"rows\": [{\"stroke\": \"1\", \"condition_ratio\": 0.0}, {\"stroke\": \"0\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..587aa0f999b029f969c0dfcaeca4361e96561b29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:39:50.481451+00:00", + "ended_at": "2026-05-19T15:40:03.099356+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_f2f2779a92ddbb85", + "problem_id": "v2p_m7_78cdeac66cfc98f2", + "dataset_id": "m7", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=stroke, condition_col=stroke.", + "bindings": { + "group_col": "stroke", + "condition_col": "stroke", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 33.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=39" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f2f2779a92ddbb85.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_f2f2779a92ddbb85", + "api_calls": 0, + "input_tokens": 14484, + "cached_input_tokens": 13696, + "output_tokens": 660, + "total_tokens": 15144, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12612.11, + "sql_execution_elapsed_ms_total": 2.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d0dbdd039cddee32f357bd5a561338b16e72f7d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:03.095676+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12612.11, "started_at": "2026-05-19T15:39:50.482510+00:00", "ended_at": "2026-05-19T15:40:03.094643+00:00", "prompt_metrics": {"chars": 8455, "bytes_utf8": 8455, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 615, "bytes_utf8": 615, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14484, "cached_input_tokens": 13696, "output_tokens": 660, "reasoning_output_tokens": 492}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"stroke\\\",\\n SUM(CASE WHEN \\\"stroke\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"stroke\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m7\\\"\\n GROUP BY \\\"stroke\\\"\\n)\\nSELECT \\\"stroke\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the provided template exactly with group_col=\\\"stroke\\\" and condition_col=\\\"stroke\\\", comparing '0' to '1' within each stroke group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..063f3517d4bde09a3b66a033419edfd61449d5dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_f2f2779a92ddbb85", + "api_calls": 0, + "input_tokens": 14484, + "cached_input_tokens": 13696, + "output_tokens": 660, + "total_tokens": 15144, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12612.11, + "sql_execution_elapsed_ms_total": 2.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f2f2779a92ddbb85/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce7fd59949639b7a57af57fbaf81f7d8d30f87ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Rural", "avg_glucose_level": "91.85", "total_measure": 249.0, "share_within_group": 0.23087056561619632}, {"Residence_type": "Rural", "avg_glucose_level": "95.49", "total_measure": 223.0, "share_within_group": 0.2067635989253485}, {"Residence_type": "Rural", "avg_glucose_level": "60.98", "total_measure": 219.0, "share_within_group": 0.20305483481906422}, {"Residence_type": "Urban", "avg_glucose_level": "91.68", "total_measure": 218.0, "share_within_group": 0.19286000416152962}, {"Residence_type": "Rural", "avg_glucose_level": "83.16", "total_measure": 194.0, "share_within_group": 0.1798750591547875}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b042bfef57ba069937711f8a39ef25f37e5ec55e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_f448f173aa9b8b5f +-- problem_id: v2p_m7_41e9bb42b4b72541 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Residence_type", + "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "Residence_type") AS share_within_group +FROM "m7" +WHERE NULLIF("Residence_type", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("age", '') IS NOT NULL +GROUP BY "Residence_type", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..13ffb620c7ec5bae18ecf633c41f27d9c4782da2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share.\nSELECT\n \"Residence_type\",\n \"avg_glucose_level\",\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"age\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"age\", '') AS REAL))) OVER (PARTITION BY \"Residence_type\") AS share_within_group\nFROM \"m7\"\nWHERE NULLIF(\"Residence_type\", '') IS NOT NULL\n AND NULLIF(\"avg_glucose_level\", '') IS NOT NULL\n AND NULLIF(\"age\", '') IS NOT NULL\nGROUP BY \"Residence_type\", \"avg_glucose_level\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Residence_type\\\",\\n \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"Residence_type\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"Residence_type\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"age\\\", '') IS NOT NULL\\nGROUP BY \\\"Residence_type\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Residence_type\", \"avg_glucose_level\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"91.85\", \"total_measure\": 249.0, \"share_within_group\": 0.23087056561619632}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"95.49\", \"total_measure\": 223.0, \"share_within_group\": 0.2067635989253485}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"60.98\", \"total_measure\": 219.0, \"share_within_group\": 0.20305483481906422}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"91.68\", \"total_measure\": 218.0, \"share_within_group\": 0.19286000416152962}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"83.16\", \"total_measure\": 194.0, \"share_within_group\": 0.1798750591547875}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"56.11\", \"total_measure\": 182.0, \"share_within_group\": 0.16874876683593465}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"85.82\", \"total_measure\": 188.0, \"share_within_group\": 0.166319636616365}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"65.98\", \"total_measure\": 179.0, \"share_within_group\": 0.1583575263528156}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"82.57\", \"total_measure\": 167.0, \"share_within_group\": 0.15484090143736862}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"95.36\", \"total_measure\": 161.0, \"share_within_group\": 0.1492777552779422}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"76.64\", \"total_measure\": 157.0, \"share_within_group\": 0.14556899117165792}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"88.83\", \"total_measure\": 162.0, \"share_within_group\": 0.143317984743889}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"82.27\", \"total_measure\": 153.0, \"share_within_group\": 0.14186022706537366}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"80.44\", \"total_measure\": 159.0, \"share_within_group\": 0.14066394798937254}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"93.13\", \"total_measure\": 159.0, \"share_within_group\": 0.14066394798937254}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"67.92\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"80.43\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"85.29\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"85.6\", \"total_measure\": 150.0, \"share_within_group\": 0.13907865398566044}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"228.7\", \"total_measure\": 157.0, \"share_within_group\": 0.1388945901530282}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"218.46\", \"total_measure\": 156.0, \"share_within_group\": 0.13800991123485606}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"73\", \"total_measure\": 156.0, \"share_within_group\": 0.13800991123485606}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"90.19\", \"total_measure\": 156.0, \"share_within_group\": 0.13800991123485606}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"62.6\", \"total_measure\": 148.0, \"share_within_group\": 0.1372242719325183}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"73.89\", \"total_measure\": 155.0, \"share_within_group\": 0.13712523231668391}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"68.34\", \"total_measure\": 147.0, \"share_within_group\": 0.13629708090594722}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"74.9\", \"total_measure\": 146.0, \"share_within_group\": 0.13536988987937615}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"205.23\", \"total_measure\": 145.0, \"share_within_group\": 0.13444269885280508}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"81.68\", \"total_measure\": 145.0, \"share_within_group\": 0.13444269885280508}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"111.81\", \"total_measure\": 151.0, \"share_within_group\": 0.1335865166439953}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"99.68\", \"total_measure\": 151.0, \"share_within_group\": 0.1335865166439953}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"91.82\", \"total_measure\": 141.0, \"share_within_group\": 0.1307339347465208}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"82.21\", \"total_measure\": 147.0, \"share_within_group\": 0.13004780097130667}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"113.68\", \"total_measure\": 140.0, \"share_within_group\": 0.12980674371994974}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"57.42\", \"total_measure\": 145.0, \"share_within_group\": 0.12827844313496237}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"86.06\", \"total_measure\": 145.0, \"share_within_group\": 0.12827844313496237}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"117.63\", \"total_measure\": 138.0, \"share_within_group\": 0.1279523616668076}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"93.48\", \"total_measure\": 138.0, \"share_within_group\": 0.1279523616668076}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"90.9\", \"total_measure\": 144.0, \"share_within_group\": 0.12739376421679022}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"89.68\", \"total_measure\": 143.0, \"share_within_group\": 0.12650908529861807}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"100.54\", \"total_measure\": 142.0, \"share_within_group\": 0.12562440638044592}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"93.85\", \"total_measure\": 135.0, \"share_within_group\": 0.12517078858709438}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"114.09\", \"total_measure\": 141.0, \"share_within_group\": 0.12473972746227376}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"214.77\", \"total_measure\": 141.0, \"share_within_group\": 0.12473972746227376}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"84.79\", \"total_measure\": 134.0, \"share_within_group\": 0.12424359756052332}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"70.28\", \"total_measure\": 140.0, \"share_within_group\": 0.12385504854410159}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"90.01\", \"total_measure\": 140.0, \"share_within_group\": 0.12385504854410159}, {\"Residence_type\": \"Rural\", \"avg_glucose_level\": \"68.35\", \"total_measure\": 131.88, \"share_within_group\": 0.12227795258419265}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"74.35\", \"total_measure\": 138.0, \"share_within_group\": 0.1220856907077573}, {\"Residence_type\": \"Urban\", \"avg_glucose_level\": \"71.38\", \"total_measure\": 137.0, \"share_within_group\": 0.12120101178958513}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 39.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9d156bf33e348e74a46bd9fc926a0c6e51cac0b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:36:26.239276+00:00", + "ended_at": "2026-05-19T15:36:41.808651+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_f448f173aa9b8b5f", + "problem_id": "v2p_m7_41e9bb42b4b72541", + "dataset_id": "m7", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "item_col": "avg_glucose_level", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f448f173aa9b8b5f.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_f448f173aa9b8b5f", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 697, + "total_tokens": 15094, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15522.99, + "sql_execution_elapsed_ms_total": 39.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67eb3f926d161c536291f906611108097b7db803 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:41.765942+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15522.99, "started_at": "2026-05-19T15:36:26.241334+00:00", "ended_at": "2026-05-19T15:36:41.764375+00:00", "prompt_metrics": {"chars": 8074, "bytes_utf8": 8074, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 843, "bytes_utf8": 843, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14397, "cached_input_tokens": 13696, "output_tokens": 697, "reasoning_output_tokens": 467}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Residence_type\\\",\\n \\\"avg_glucose_level\\\",\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"age\\\", '') AS REAL))) OVER (PARTITION BY \\\"Residence_type\\\") AS share_within_group\\nFROM \\\"m7\\\"\\nWHERE NULLIF(\\\"Residence_type\\\", '') IS NOT NULL\\n AND NULLIF(\\\"avg_glucose_level\\\", '') IS NOT NULL\\n AND NULLIF(\\\"age\\\", '') IS NOT NULL\\nGROUP BY \\\"Residence_type\\\", \\\"avg_glucose_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the required Within-Group Share of Total template with group_col=\\\"Residence_type\\\", item_col=\\\"avg_glucose_level\\\", and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL and excluded empty strings to keep the aggregation numeric and SQLite-safe.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..318e8e8304d74fd91c18c320e6dab43ea501783a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_f448f173aa9b8b5f", + "api_calls": 0, + "input_tokens": 14397, + "cached_input_tokens": 13696, + "output_tokens": 697, + "total_tokens": 15094, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15522.99, + "sql_execution_elapsed_ms_total": 39.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_f448f173aa9b8b5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2484b463e435de9ac0e73fd7bd65b6eddcfbdc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"stroke": "0", "total_rows": 4861, "missing_rows": 0, "missing_rate": 0.0}, {"stroke": "1", "total_rows": 249, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..27ef9175ca74de12e16c61a9229b6819568cd15b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_fa815f6439c8dd86 +-- problem_id: v2p_m7_1a8b93601f068e0b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "stroke", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7766a2b01115cec01348d7ba192be312511e4046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m7_fa815f6439c8dd86\n-- problem_id: v2p_m7_1a8b93601f068e0b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"stroke\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"stroke\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m7_fa815f6439c8dd86\\n-- problem_id: v2p_m7_1a8b93601f068e0b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"stroke\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"stroke\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"stroke\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"stroke\": \"0\", \"total_rows\": 4861, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"stroke\": \"1\", \"total_rows\": 249, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..69a3056c565cc05475d77af5d7fda81fc443fda7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.832457+00:00", + "ended_at": "2026-05-19T16:09:16.834834+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_fa815f6439c8dd86", + "problem_id": "v2p_m7_1a8b93601f068e0b", + "dataset_id": "m7", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=stroke, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "group_col": "stroke" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fa815f6439c8dd86.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fa815f6439c8dd86/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..60a8255f40b3d2da1756708ad2d189c89e2bfd7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age. +Result preview: [{"Residence_type": "Urban", "percentile_measure": 75.0}, {"Residence_type": "Rural", "percentile_measure": 73.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e270bfa0c6f2805c8af6e7bca3c9170b3e4ba609 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/generated_sql.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_faf0b2cb8033f56e +-- problem_id: v2p_m7_8175649abfb1f639 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Residence_type") AS "cnt" + FROM "m7" + WHERE NULLIF("age", '') IS NOT NULL +), +"group_stats" AS ( + SELECT DISTINCT + "Residence_type", + "cnt" + FROM "ordered" + WHERE "cnt" >= 5 +), +"targets" AS ( + SELECT + "Residence_type", + (0.9 * ("cnt" - 1) + 1.0) AS "target_rn", + CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) AS "floor_rn", + CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + CASE + WHEN (0.9 * ("cnt" - 1) + 1.0) > CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) THEN 1 + ELSE 0 + END AS "ceil_rn" + FROM "group_stats" +), +"bounds" AS ( + SELECT + t."Residence_type", + t."target_rn", + t."floor_rn", + MAX(CASE WHEN o."rn" = t."floor_rn" THEN o."age_value" END) AS "floor_value", + MAX(CASE WHEN o."rn" = t."ceil_rn" THEN o."age_value" END) AS "ceil_value" + FROM "targets" AS t + JOIN "ordered" AS o + ON o."Residence_type" = t."Residence_type" + GROUP BY t."Residence_type", t."target_rn", t."floor_rn" +) +SELECT + "Residence_type", + CASE + WHEN "floor_value" IS NULL THEN NULL + WHEN "ceil_value" IS NULL OR "target_rn" = "floor_rn" THEN "floor_value" + ELSE "floor_value" + ("target_rn" - "floor_rn") * ("ceil_value" - "floor_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..089dbf2dccdeeefc83efae8fff2dda13c5cef9f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Residence_type\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Residence_type\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Residence_type\") AS \"cnt\"\n FROM \"m7\"\n WHERE NULLIF(\"age\", '') IS NOT NULL\n),\n\"group_stats\" AS (\n SELECT DISTINCT\n \"Residence_type\",\n \"cnt\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n),\n\"targets\" AS (\n SELECT\n \"Residence_type\",\n (0.9 * (\"cnt\" - 1) + 1.0) AS \"target_rn\",\n CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"floor_rn\",\n CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) + CASE\n WHEN (0.9 * (\"cnt\" - 1) + 1.0) > CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) THEN 1\n ELSE 0\n END AS \"ceil_rn\"\n FROM \"group_stats\"\n),\n\"bounds\" AS (\n SELECT\n t.\"Residence_type\",\n t.\"target_rn\",\n t.\"floor_rn\",\n MAX(CASE WHEN o.\"rn\" = t.\"floor_rn\" THEN o.\"age_value\" END) AS \"floor_value\",\n MAX(CASE WHEN o.\"rn\" = t.\"ceil_rn\" THEN o.\"age_value\" END) AS \"ceil_value\"\n FROM \"targets\" AS t\n JOIN \"ordered\" AS o\n ON o.\"Residence_type\" = t.\"Residence_type\"\n GROUP BY t.\"Residence_type\", t.\"target_rn\", t.\"floor_rn\"\n)\nSELECT\n \"Residence_type\",\n CASE\n WHEN \"floor_value\" IS NULL THEN NULL\n WHEN \"ceil_value\" IS NULL OR \"target_rn\" = \"floor_rn\" THEN \"floor_value\"\n ELSE \"floor_value\" + (\"target_rn\" - \"floor_rn\") * (\"ceil_value\" - \"floor_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Residence_type\\\") AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\n),\\n\\\"group_stats\\\" AS (\\n SELECT DISTINCT\\n \\\"Residence_type\\\",\\n \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"target_rn\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"floor_rn\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + CASE\\n WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) > CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"ceil_rn\\\"\\n FROM \\\"group_stats\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n t.\\\"Residence_type\\\",\\n t.\\\"target_rn\\\",\\n t.\\\"floor_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"floor_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"floor_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"ceil_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"ceil_value\\\"\\n FROM \\\"targets\\\" AS t\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"Residence_type\\\" = t.\\\"Residence_type\\\"\\n GROUP BY t.\\\"Residence_type\\\", t.\\\"target_rn\\\", t.\\\"floor_rn\\\"\\n)\\nSELECT\\n \\\"Residence_type\\\",\\n CASE\\n WHEN \\\"floor_value\\\" IS NULL THEN NULL\\n WHEN \\\"ceil_value\\\" IS NULL OR \\\"target_rn\\\" = \\\"floor_rn\\\" THEN \\\"floor_value\\\"\\n ELSE \\\"floor_value\\\" + (\\\"target_rn\\\" - \\\"floor_rn\\\") * (\\\"ceil_value\\\" - \\\"floor_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Residence_type\", \"percentile_measure\"], \"rows\": [{\"Residence_type\": \"Urban\", \"percentile_measure\": 75.0}, {\"Residence_type\": \"Rural\", \"percentile_measure\": 73.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 28.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..881dd09dcf04e28365ecb968f5341f2da5251690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:51:33.560520+00:00", + "ended_at": "2026-05-19T15:52:15.658895+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_faf0b2cb8033f56e", + "problem_id": "v2p_m7_8175649abfb1f639", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Residence_type, measure_col=age.", + "bindings": { + "group_col": "Residence_type", + "measure_col": "age", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 61.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_faf0b2cb8033f56e.sql", + "usage_summary": { + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_faf0b2cb8033f56e", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 3001, + "total_tokens": 17316, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 42063.95, + "sql_execution_elapsed_ms_total": 28.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..648c7ecca2845d6e880f6d5ee690e3d9c60ac057 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:15.627709+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 42063.95, "started_at": "2026-05-19T15:51:33.561982+00:00", "ended_at": "2026-05-19T15:52:15.626056+00:00", "prompt_metrics": {"chars": 7837, "bytes_utf8": 7837, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1965, "bytes_utf8": 1965, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14315, "cached_input_tokens": 13696, "output_tokens": 3001, "reasoning_output_tokens": 2361}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Residence_type\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Residence_type\\\") AS \\\"cnt\\\"\\n FROM \\\"m7\\\"\\n WHERE NULLIF(\\\"age\\\", '') IS NOT NULL\\n),\\n\\\"group_stats\\\" AS (\\n SELECT DISTINCT\\n \\\"Residence_type\\\",\\n \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"Residence_type\\\",\\n (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"target_rn\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"floor_rn\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + CASE\\n WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) > CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"ceil_rn\\\"\\n FROM \\\"group_stats\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n t.\\\"Residence_type\\\",\\n t.\\\"target_rn\\\",\\n t.\\\"fl"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5935f564ee40700a887ab3684e0a21f4f70c3d4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m7", + "model": "v2-cli:codex", + "run_id": "v2q_m7_faf0b2cb8033f56e", + "api_calls": 0, + "input_tokens": 14315, + "cached_input_tokens": 13696, + "output_tokens": 3001, + "total_tokens": 17316, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 42063.95, + "sql_execution_elapsed_ms_total": 28.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_faf0b2cb8033f56e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..314b179e407fbe373701bf42a3b7c945f443dbd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"work_type": "Private", "total_rows": 2925, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "Self-employed", "total_rows": 819, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "children", "total_rows": 687, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "Govt_job", "total_rows": 657, "missing_rows": 0, "missing_rate": 0.0}, {"work_type": "Never_worked", "total_rows": 22, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..56b43c31666c982cd264dbfa0e893ce8c55ae4c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_fe721c09d7c2acfb +-- problem_id: v2p_m7_902f8b2a344700e5 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "work_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "work_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9db7543479d37734d5773ce670bf314c678185d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_fe721c09d7c2acfb\n-- problem_id: v2p_m7_902f8b2a344700e5\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"work_type\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"work_type\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_fe721c09d7c2acfb\\n-- problem_id: v2p_m7_902f8b2a344700e5\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"work_type\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"work_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"work_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"work_type\": \"Private\", \"total_rows\": 2925, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"Self-employed\", \"total_rows\": 819, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"children\", \"total_rows\": 687, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"Govt_job\", \"total_rows\": 657, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"work_type\": \"Never_worked\", \"total_rows\": 22, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f4d9135f47c6dc80a9748b7b81dced695f307f05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.850367+00:00", + "ended_at": "2026-05-19T16:09:16.853316+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_fe721c09d7c2acfb", + "problem_id": "v2p_m7_902f8b2a344700e5", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=work_type, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "work_type" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fe721c09d7c2acfb.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fe721c09d7c2acfb/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2eab558b6de3481f22abaf1166841288d9d6de4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"ever_married": "Yes", "total_rows": 3353, "missing_rows": 0, "missing_rate": 0.0}, {"ever_married": "No", "total_rows": 1757, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f716e87946d291a81c3b9403e04f824810b00d2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_fed5b605dbc9f32b +-- problem_id: v2p_m7_548c6ad06313c3dc +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ever_married", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "ever_married" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fced10b9a9782c31b7feb837ab94c365f34b1af1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m7\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m7_fed5b605dbc9f32b\n-- problem_id: v2p_m7_548c6ad06313c3dc\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ever_married\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"bmi\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"bmi\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m7\"\nGROUP BY \"ever_married\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m7\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m7_fed5b605dbc9f32b\\n-- problem_id: v2p_m7_548c6ad06313c3dc\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ever_married\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"bmi\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"bmi\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m7\\\"\\nGROUP BY \\\"ever_married\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"ever_married\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"ever_married\": \"Yes\", \"total_rows\": 3353, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"ever_married\": \"No\", \"total_rows\": 1757, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5cff13b7e299ab4befa8a7d1dbfbabffefac95af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T16:09:16.847265+00:00", + "ended_at": "2026-05-19T16:09:16.849883+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_fed5b605dbc9f32b", + "problem_id": "v2p_m7_548c6ad06313c3dc", + "dataset_id": "m7", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=ever_married, missing_col=bmi.", + "bindings": { + "missing_col": "bmi", + "target_col": "ever_married" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fed5b605dbc9f32b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_fed5b605dbc9f32b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..81d7fe21e3b3033c415c91cfc762a050f6a89a55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m7", + "started_at": "2026-05-19T15:57:49.584424+00:00", + "ended_at": "2026-05-19T15:57:57.446270+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m7_ff93db28aebf4ed7", + "problem_id": "v2p_m7_e726fe3fa83d4701", + "dataset_id": "m7", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=work_type, measure_col=id.", + "bindings": { + "group_col": "work_type", + "measure_col": "id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 54682.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..570055e187adc1b7dca17910d5d28eaed133a8ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/artifacts/v2q_m7_ff93db28aebf4ed7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:52.809112+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3222.84, "started_at": "2026-05-19T15:57:49.585543+00:00", "ended_at": "2026-05-19T15:57:52.808404+00:00", "prompt_metrics": {"chars": 7830, "bytes_utf8": 7830, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-2b86-7f22-b6c6-39270e29d313\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:57:57.446177+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3635.38, "started_at": "2026-05-19T15:57:53.809845+00:00", "ended_at": "2026-05-19T15:57:57.445255+00:00", "prompt_metrics": {"chars": 7830, "bytes_utf8": 7830, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-3c09-7db2-9e34-a25dac1fbc58\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0088d25a69094734.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0088d25a69094734.sql new file mode 100644 index 0000000000000000000000000000000000000000..51fb3f14115eca943182e0e0bda185465a713f15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0088d25a69094734.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_0088d25a69094734 +-- problem_id: v2p_m7_5073218d3b829874 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS group_value + FROM "m7" + WHERE NULLIF("bmi", '') IS NOT NULL + GROUP BY "ever_married" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."ever_married", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_018abcbfdff638e0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_018abcbfdff638e0.sql new file mode 100644 index 0000000000000000000000000000000000000000..63dcdcbfadc7f2cff457b910b6ae2f17de419d46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_018abcbfdff638e0.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_018abcbfdff638e0 +-- problem_id: v2p_m7_afd9fc4b8f1e49bf +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", + AVG(CASE WHEN "ever_married" = 'Yes' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_01d4023046378f99.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_01d4023046378f99.sql new file mode 100644 index 0000000000000000000000000000000000000000..453727edd30e62f8d84ed2036a42c5d6d47622c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_01d4023046378f99.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_01d4023046378f99 +-- problem_id: v2p_m7_71c2404dcc21d335 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "age", + SUM(CAST("id" AS NUMERIC)) AS total_measure, + SUM(CAST("id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("id" AS NUMERIC))) OVER (PARTITION BY "gender") AS share_within_group +FROM "m7" +GROUP BY "gender", "age" +ORDER BY share_within_group DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_020fe97029ead56e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_020fe97029ead56e.sql new file mode 100644 index 0000000000000000000000000000000000000000..f18eed073880086bd4b1ab0d6a77422bfe5d9c4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_020fe97029ead56e.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_020fe97029ead56e +-- problem_id: v2p_m7_e264ac72ed3806ef +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ever_married" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "ever_married" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_028af02a750d40c1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_028af02a750d40c1.sql new file mode 100644 index 0000000000000000000000000000000000000000..c6797a57ca4831639be2f8e84baaea04b1dbd586 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_028af02a750d40c1.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m7_028af02a750d40c1 +-- problem_id: v2p_m7_c949d66cd97a73ee +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + COUNT(*) AS support +FROM "m7" +GROUP BY "gender" +ORDER BY support ASC, "gender" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_03cbd3b43bfb5aca.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_03cbd3b43bfb5aca.sql new file mode 100644 index 0000000000000000000000000000000000000000..63c522e17c3665c0de60ec56891729e8dbe7a2ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_03cbd3b43bfb5aca.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_03cbd3b43bfb5aca +-- problem_id: v2p_m7_24ee7c37e3723747 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN NULLIF(TRIM("age"), '') IS NOT NULL AND CAST("age" AS REAL) <= 61.0 THEN 1 WHEN NULLIF(TRIM("age"), '') IS NOT NULL THEN 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_040d5de4a5685606.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_040d5de4a5685606.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9818b9b9b5b8a2912d22f60a603c3f79f9d22cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_040d5de4a5685606.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_040d5de4a5685606 +-- problem_id: v2p_m7_30e71126e6052ee6 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "age", + SUM(CAST(NULLIF("id", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("id", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("id", '') AS REAL))) OVER (PARTITION BY "work_type") AS "share_within_group" +FROM "m7" +GROUP BY "work_type", "age" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_045107c486867c6e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_045107c486867c6e.sql new file mode 100644 index 0000000000000000000000000000000000000000..d911cc56de7cb901acb6e85167319ef6cb1d2fc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_045107c486867c6e.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_045107c486867c6e +-- problem_id: v2p_m7_65e38cfa57828cdf +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "gender" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_05b6fd3ca209a6ec.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_05b6fd3ca209a6ec.sql new file mode 100644 index 0000000000000000000000000000000000000000..2202e6c0815ff8c3a6c85c3f3fe1ad8e6d721e71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_05b6fd3ca209a6ec.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_05b6fd3ca209a6ec +-- problem_id: v2p_m7_ce9a616847a6a64c +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Residence_type" + ) AS "cnt" + FROM "m7" + WHERE "age" IS NOT NULL AND "age" <> '' +) +SELECT + "Residence_type", + MIN("age_value") AS "percentile_measure" +FROM "ranked" +WHERE "rn" >= CAST((0.95 * "cnt") + 0.999999999 AS INTEGER) +GROUP BY "Residence_type" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0687a47cc2d15b75.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0687a47cc2d15b75.sql new file mode 100644 index 0000000000000000000000000000000000000000..60e30af5c26343883658d43ed494283b115151bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0687a47cc2d15b75.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_0687a47cc2d15b75 +-- problem_id: v2p_m7_b452b1f8ff040e3b +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", + AVG(CASE WHEN "heart_disease" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_06e65bec3c3ff169.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_06e65bec3c3ff169.sql new file mode 100644 index 0000000000000000000000000000000000000000..8943b22e02b6eb638c9b54f0616e47ae6919839c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_06e65bec3c3ff169.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_06e65bec3c3ff169 +-- problem_id: v2p_m7_d3a9c6a25dae8945 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", SUM(CAST("age" AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "hypertension" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_071c09858e38088b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_071c09858e38088b.sql new file mode 100644 index 0000000000000000000000000000000000000000..4479dcbb6118b60f2c82c9e37ca289a3ed48b61d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_071c09858e38088b.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_071c09858e38088b +-- problem_id: v2p_m7_9b33b00b14cc3034 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoking_status", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "smoking_status") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL + AND NULLIF("smoking_status", '') IS NOT NULL +GROUP BY "smoking_status", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_083637a4584ca0a1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_083637a4584ca0a1.sql new file mode 100644 index 0000000000000000000000000000000000000000..fcb3bb1fc8370ea10e27e2d1a65244fa978fc93a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_083637a4584ca0a1.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_083637a4584ca0a1 +-- problem_id: v2p_m7_86a70b1aafaecf39 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("avg_glucose_level" AS REAL) AS "avg_glucose_level", + NTILE(10) OVER (ORDER BY CAST("avg_glucose_level" AS REAL) DESC) AS "tail_bucket" + FROM "m7" + WHERE "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' +) +SELECT "avg_glucose_level" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "avg_glucose_level" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_090e985d0f15e967.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_090e985d0f15e967.sql new file mode 100644 index 0000000000000000000000000000000000000000..910ddddee2315a88150e29f870cfa19c354d07db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_090e985d0f15e967.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_090e985d0f15e967 +-- problem_id: v2p_m7_74e6ec1eac713e0c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "Residence_type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Residence_type", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0b9ffa08ee57cea6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0b9ffa08ee57cea6.sql new file mode 100644 index 0000000000000000000000000000000000000000..d8ef7746133bd07b928d3c0684aefbf91660273c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0b9ffa08ee57cea6.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_0b9ffa08ee57cea6 +-- problem_id: v2p_m7_cd1e3da6c55ca08e +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST(NULLIF("id", '') AS NUMERIC)) AS total_measure +FROM "m7" +GROUP BY "gender" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0bbce54208461cea.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0bbce54208461cea.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed39e3a9f6ab6c400a01ed31b53171e38615b6cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0bbce54208461cea.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_0bbce54208461cea +-- problem_id: v2p_m7_ecdbc39534dd105d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "avg_glucose_level", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m7" +GROUP BY "avg_glucose_level" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0c8f6b8b31c734d2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0c8f6b8b31c734d2.sql new file mode 100644 index 0000000000000000000000000000000000000000..c8ef8bcfd5aa96e9b8c1b6545fec03ad2c9dd0a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0c8f6b8b31c734d2.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_0c8f6b8b31c734d2 +-- problem_id: v2p_m7_fac9d767bd040452 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "Residence_type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e7aeb809c2c9484.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e7aeb809c2c9484.sql new file mode 100644 index 0000000000000000000000000000000000000000..b89cf34937deae859aad663b330f5b88377bba20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e7aeb809c2c9484.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_0e7aeb809c2c9484 +-- problem_id: v2p_m7_10739d7870ea8cdd +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", COUNT(*) AS row_count +FROM "m7" +GROUP BY "stroke" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e9e72fd7ff53009.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e9e72fd7ff53009.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2335c0effe144a833543eae98c6fd2c839b186e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_0e9e72fd7ff53009.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_0e9e72fd7ff53009 +-- problem_id: v2p_m7_8325af319e766bde +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("id" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_132f87c4ec2e4ebd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_132f87c4ec2e4ebd.sql new file mode 100644 index 0000000000000000000000000000000000000000..f4aff941104dfd26a97cd50f54d6a608500bf850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_132f87c4ec2e4ebd.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_132f87c4ec2e4ebd +-- problem_id: v2p_m7_16255287b3d93568 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", SUM(CAST("id" AS REAL)) AS group_value + FROM "m7" + WHERE "gender" IS NOT NULL AND "gender" <> '' AND "id" IS NOT NULL AND "id" <> '' + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_13d228db0d6f974e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_13d228db0d6f974e.sql new file mode 100644 index 0000000000000000000000000000000000000000..16cb773f8471978752c41a1b1dff445c11aa663b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_13d228db0d6f974e.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_13d228db0d6f974e +-- problem_id: v2p_m7_9870be32854d69e4 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "gender", + CAST("id" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "gender" + ORDER BY CAST("id" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "gender" + ) AS "cnt" + FROM "m7" + WHERE "gender" IS NOT NULL + AND "gender" <> '' + AND "id" IS NOT NULL + AND "id" <> '' +), +"positions" AS ( + SELECT DISTINCT + "gender", + (0.95 * ("cnt" - 1)) + 1 AS "pos", + CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) AS "lower_rn", + CASE + WHEN ((0.95 * ("cnt" - 1)) + 1) > CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + THEN CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + 1 + ELSE CAST((0.95 * ("cnt" - 1)) + 1 AS INTEGER) + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + p."gender", + p."pos", + p."lower_rn", + p."upper_rn", + l."measure_value" AS "lower_value", + u."measure_value" AS "upper_value" + FROM "positions" AS p + JOIN "ranked" AS l + ON l."gender" = p."gender" + AND l."rn" = p."lower_rn" + JOIN "ranked" AS u + ON u."gender" = p."gender" + AND u."rn" = p."upper_rn" +) +SELECT + "gender", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_152e9cb0213bac3f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_152e9cb0213bac3f.sql new file mode 100644 index 0000000000000000000000000000000000000000..d1fdf5d8d5849485c8adcba5c9709d7635fa0965 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_152e9cb0213bac3f.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_152e9cb0213bac3f +-- problem_id: v2p_m7_0d89a7e9dc2458b4 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "gender" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "gender" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_18f0325df5c00bc7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_18f0325df5c00bc7.sql new file mode 100644 index 0000000000000000000000000000000000000000..51d1690f6d3b94d4688326dbccef4091744be8db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_18f0325df5c00bc7.sql @@ -0,0 +1,62 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_18f0325df5c00bc7 +-- problem_id: v2p_m7_93ab2c67cc462947 +-- realization_mode: agent +-- source_kind: agent +WITH "__base" AS ( + SELECT + "stroke" AS "group_col", + CAST("bmi" AS REAL) AS "measure_col" + FROM "m7" + WHERE "bmi" IS NOT NULL + AND TRIM("bmi") <> "" +), +"__ranked" AS ( + SELECT + "group_col", + "measure_col", + ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn", + COUNT(*) OVER (PARTITION BY "group_col") AS "n" + FROM "__base" +), +"__params" AS ( + SELECT + "group_col", + (1.0 + 0.95 * (MAX("n") - 1)) AS "target_pos", + CAST((1.0 + 0.95 * (MAX("n") - 1)) AS INTEGER) AS "lower_pos", + CAST((1.0 + 0.95 * (MAX("n") - 1)) AS INTEGER) + CASE + WHEN (1.0 + 0.95 * (MAX("n") - 1)) > CAST((1.0 + 0.95 * (MAX("n") - 1)) AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_pos" + FROM "__ranked" + GROUP BY "group_col" +) +SELECT + p."group_col" AS "stroke", + CASE + WHEN p."lower_pos" = p."upper_pos" THEN + MAX(CASE WHEN r."rn" = p."lower_pos" THEN r."measure_col" END) + ELSE + MAX(CASE WHEN r."rn" = p."lower_pos" THEN r."measure_col" END) + + (p."target_pos" - p."lower_pos") * ( + MAX(CASE WHEN r."rn" = p."upper_pos" THEN r."measure_col" END) - + MAX(CASE WHEN r."rn" = p."lower_pos" THEN r."measure_col" END) + ) + END AS "percentile_measure" +FROM "__params" AS p +JOIN "__ranked" AS r + ON r."group_col" = p."group_col" +GROUP BY + p."group_col", + p."target_pos", + p."lower_pos", + p."upper_pos" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a38edcf28304fc1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a38edcf28304fc1.sql new file mode 100644 index 0000000000000000000000000000000000000000..1e70fb52e0d8fd9f0734d37341e4d6e3ecd9d248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a38edcf28304fc1.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_1a38edcf28304fc1 +-- problem_id: v2p_m7_60ca79a11300fb80 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", + AVG(CASE WHEN "Residence_type" = 'Rural' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "Residence_type" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a705a0dad935c5c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a705a0dad935c5c.sql new file mode 100644 index 0000000000000000000000000000000000000000..02021fc5e56b6bf451de40015d9f7ee2dc49b663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1a705a0dad935c5c.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_1a705a0dad935c5c +-- problem_id: v2p_m7_6743cc4bef4dc4e6 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "bmi" IS NOT NULL + AND "bmi" <> '' +) +SELECT "bmi" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("bmi" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1bd374084b878674.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1bd374084b878674.sql new file mode 100644 index 0000000000000000000000000000000000000000..65f0a8a39a7b3f35a2163fad132a63923be58a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1bd374084b878674.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_1bd374084b878674 +-- problem_id: v2p_m7_c9c09bdf7cad478c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoking_status", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "smoking_status" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoking_status", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ed242aeaee7b289.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ed242aeaee7b289.sql new file mode 100644 index 0000000000000000000000000000000000000000..41df5cc100ec3681a355eba7d8d7f9a5686d6a7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ed242aeaee7b289.sql @@ -0,0 +1,37 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_1ed242aeaee7b289 +-- problem_id: v2p_m7_2c7efb31481bee3b +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "ever_married", + CAST("bmi" AS REAL) AS "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "ever_married" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "ever_married" + ) AS "cnt" + FROM "m7" + WHERE "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +) +SELECT + "ever_married", + "bmi_value" AS "percentile_measure" +FROM "ranked" +WHERE "rn" = CASE + WHEN (9 * "cnt") % 10 = 0 THEN CAST((9 * "cnt") / 10 AS INTEGER) + ELSE CAST((9 * "cnt") / 10 AS INTEGER) + 1 +END +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ef7e7c67f3b77c0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ef7e7c67f3b77c0.sql new file mode 100644 index 0000000000000000000000000000000000000000..34c1f2dc87881465cb645cc8b3f9842685b92230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_1ef7e7c67f3b77c0.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_1ef7e7c67f3b77c0 +-- problem_id: v2p_m7_b69107e856af1706 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoking_status" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "smoking_status" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_218028c7ba80c178.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_218028c7ba80c178.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf8e865ae1be639d3f1e4f914bf94b2c61574be5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_218028c7ba80c178.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m7_218028c7ba80c178 +-- problem_id: v2p_m7_a1def222031cc286 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ever_married", + COUNT(*) AS "support" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "support" ASC, "ever_married" +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2708c1038ddc5697.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2708c1038ddc5697.sql new file mode 100644 index 0000000000000000000000000000000000000000..e42e9f5eb5ee452dc444a3617227a173b58e1626 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2708c1038ddc5697.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_2708c1038ddc5697 +-- problem_id: v2p_m7_b44d04cdf28ee2f6 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_272c2f7871f2c610.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_272c2f7871f2c610.sql new file mode 100644 index 0000000000000000000000000000000000000000..9cf8c50ed05dd7ad29ac1b7897d0b4970e78ff42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_272c2f7871f2c610.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_272c2f7871f2c610 +-- problem_id: v2p_m7_414281c99f27a330 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", + AVG(CASE WHEN "Residence_type" = 'Urban' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "Residence_type" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_285819540085b992.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_285819540085b992.sql new file mode 100644 index 0000000000000000000000000000000000000000..2b0c8a8c39a468fb28cab0a56befafd0344cb573 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_285819540085b992.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_285819540085b992 +-- problem_id: v2p_m7_d5cd8fef97ef6913 +-- realization_mode: agent +-- source_kind: agent +SELECT + "heart_disease", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 / + SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_28b6db76e266e755.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_28b6db76e266e755.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6d6600f1085e5a39e931c6fc699484864aeb97b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_28b6db76e266e755.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_28b6db76e266e755 +-- problem_id: v2p_m7_ed85b78b6c960f9a +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "smoking_status" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d66afe8fb598e0e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d66afe8fb598e0e.sql new file mode 100644 index 0000000000000000000000000000000000000000..0ccdc054e492aea209426d633dfaaf65f2903557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d66afe8fb598e0e.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_2d66afe8fb598e0e +-- problem_id: v2p_m7_11e0cf81ccdc0097 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "stroke", COUNT(*) AS "row_count" +FROM "m7" +WHERE "heart_disease" = '0' +GROUP BY "work_type", "stroke" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d787e84f261b4a6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d787e84f261b4a6.sql new file mode 100644 index 0000000000000000000000000000000000000000..670c08b0d868d7015dc13d9d404c1e20fe030d7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d787e84f261b4a6.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_2d787e84f261b4a6 +-- problem_id: v2p_m7_aca1e9939ab10e50 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "work_type", + AVG(CAST("id" AS REAL)) OVER (PARTITION BY "work_type") AS "avg_measure" +FROM "m7" +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d980b1a752e3abe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d980b1a752e3abe.sql new file mode 100644 index 0000000000000000000000000000000000000000..e9102a81d9b51e9057f0038abdbac207bf0ce0b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2d980b1a752e3abe.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_2d980b1a752e3abe +-- problem_id: v2p_m7_a2c16e58ad148d92 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "age", + SUM(CAST("id" AS REAL)) AS total_measure, + SUM(CAST("id" AS REAL)) * 100.0 / SUM(SUM(CAST("id" AS REAL))) OVER (PARTITION BY "gender") AS share_within_group +FROM "m7" +GROUP BY "gender", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2dcb48e24275b40c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2dcb48e24275b40c.sql new file mode 100644 index 0000000000000000000000000000000000000000..2b3250d61a1154808e03c4d1e02579b8755b01a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_2dcb48e24275b40c.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_2dcb48e24275b40c +-- problem_id: v2p_m7_a43f8730b5d521ff +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", + AVG(CASE WHEN "stroke" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31a015ffb58fcdf8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31a015ffb58fcdf8.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f6ce687faf5d79562833e5b6abf66160814b04f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31a015ffb58fcdf8.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_31a015ffb58fcdf8 +-- problem_id: v2p_m7_cfe5c31d24e23923 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "Residence_type", + AVG(CAST(NULLIF("age", '') AS REAL)) OVER (PARTITION BY "Residence_type") AS avg_measure +FROM "m7" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31eb991ded93c83a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31eb991ded93c83a.sql new file mode 100644 index 0000000000000000000000000000000000000000..429fd1b7a46da9d7e5b485ecfa39a31e7e893a6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_31eb991ded93c83a.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_31eb991ded93c83a +-- problem_id: v2p_m7_58f8890a090d8e2d +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "stroke", + CAST(NULLIF("bmi", '') AS REAL) AS "bmi_value", + CUME_DIST() OVER ( + PARTITION BY "stroke" + ORDER BY CAST(NULLIF("bmi", '') AS REAL) + ) AS "cume_dist_value" + FROM "m7" + WHERE NULLIF("bmi", '') IS NOT NULL +) +SELECT + "stroke", + MIN("bmi_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist_value" >= 0.9 +GROUP BY "stroke" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_32bd2177ebd1ed71.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_32bd2177ebd1ed71.sql new file mode 100644 index 0000000000000000000000000000000000000000..554583c853b04d78a7af0641524235be23e92a16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_32bd2177ebd1ed71.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_32bd2177ebd1ed71 +-- problem_id: v2p_m7_bb1069f838fd59c8 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", + AVG(CASE WHEN "stroke" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3339240a81854092.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3339240a81854092.sql new file mode 100644 index 0000000000000000000000000000000000000000..596fa4f6ca60f9155d04ba0171368ce47ecb8ccc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3339240a81854092.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_3339240a81854092 +-- problem_id: v2p_m7_d18ecbbc2f178b8d +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "m7" +GROUP BY "gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_34501c6a006766e5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_34501c6a006766e5.sql new file mode 100644 index 0000000000000000000000000000000000000000..5a07c7346700c0d798eec2b7c753c534d3011a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_34501c6a006766e5.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_34501c6a006766e5 +-- problem_id: v2p_m7_4918f74f919f6e95 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", + AVG(CASE WHEN "work_type" = 'Self-employed' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "work_type" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3651d5a0bfe60c0a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3651d5a0bfe60c0a.sql new file mode 100644 index 0000000000000000000000000000000000000000..cb25a9880e8ad0ac0464a37acc4f2d3f01a9e826 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3651d5a0bfe60c0a.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_3651d5a0bfe60c0a +-- problem_id: v2p_m7_e5da33cb1adabbe9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "hypertension" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "hypertension" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3716efb3cd4f1be5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3716efb3cd4f1be5.sql new file mode 100644 index 0000000000000000000000000000000000000000..78741e2adc5329c094a6b53742ddc341db7f1138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3716efb3cd4f1be5.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_3716efb3cd4f1be5 +-- problem_id: v2p_m7_021160eda1ffcf85 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "heart_disease" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_373a614e940f48cc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_373a614e940f48cc.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc0aa0e924131e73a3879946ad99a6f63761d6b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_373a614e940f48cc.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_373a614e940f48cc +-- problem_id: v2p_m7_af184d41190b3f57 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", + AVG(CASE WHEN "gender" = 'Male' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_38104d0bc8ddc8e3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_38104d0bc8ddc8e3.sql new file mode 100644 index 0000000000000000000000000000000000000000..6aac3d5489f8a957a5d02b476597b16a966e88d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_38104d0bc8ddc8e3.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_38104d0bc8ddc8e3 +-- problem_id: v2p_m7_9a655e521201c293 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", "stroke", COUNT(*) AS row_count +FROM "m7" +WHERE "work_type" = 'Never_worked' +GROUP BY "Residence_type", "stroke" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3bba3cb41db2e4b3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3bba3cb41db2e4b3.sql new file mode 100644 index 0000000000000000000000000000000000000000..f7d4be1ba600f3bab5457becc88db6974820eed8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3bba3cb41db2e4b3.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_3bba3cb41db2e4b3 +-- problem_id: v2p_m7_ee5e3572dbdd40a6 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "heart_disease" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c1043561217dc8d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c1043561217dc8d.sql new file mode 100644 index 0000000000000000000000000000000000000000..60ed1072e9747f93901690138303748a299e01e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c1043561217dc8d.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_3c1043561217dc8d +-- problem_id: v2p_m7_559cc50ba2423627 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "gender" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "gender" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c4fb349dd57e377.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c4fb349dd57e377.sql new file mode 100644 index 0000000000000000000000000000000000000000..393ff9c8b9f9b7f6a67cc77bd9fc23755b290bd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3c4fb349dd57e377.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_3c4fb349dd57e377 +-- problem_id: v2p_m7_24cab3bfb625c046 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "avg_glucose_level", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m7" +GROUP BY "avg_glucose_level" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3ca1e2993344e706.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3ca1e2993344e706.sql new file mode 100644 index 0000000000000000000000000000000000000000..834d1896edf7bf004b2b8dbcbd7784f70108b436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3ca1e2993344e706.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_3ca1e2993344e706 +-- problem_id: v2p_m7_0368947183be7597 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("avg_glucose_level" AS REAL) AS "avg_glucose_level", + NTILE(10) OVER (ORDER BY CAST("avg_glucose_level" AS REAL) DESC) AS "tail_bucket" + FROM "m7" + WHERE "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' +) +SELECT "avg_glucose_level" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "avg_glucose_level" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3cc316fd0cc1d1d5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3cc316fd0cc1d1d5.sql new file mode 100644 index 0000000000000000000000000000000000000000..3bcf3beb3fe7e97a73b30491f12b8135859bf5fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_3cc316fd0cc1d1d5.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_3cc316fd0cc1d1d5 +-- problem_id: v2p_m7_f23ff2da7c8e3abe +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ever_married", + SUM(CASE WHEN "ever_married" = 'Yes' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ever_married" = 'No' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "ever_married" +) +SELECT "ever_married", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_41419ebb395fdd5e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_41419ebb395fdd5e.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc9d43beaf2c07697443e01c89667fc44425134f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_41419ebb395fdd5e.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_41419ebb395fdd5e +-- problem_id: v2p_m7_7e0ca1a023791448 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "age", + NTILE(10) OVER (ORDER BY CAST(NULLIF("age", '') AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE NULLIF("age", '') IS NOT NULL +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("age" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_42db52b029b0a090.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_42db52b029b0a090.sql new file mode 100644 index 0000000000000000000000000000000000000000..e9f68f43ba59a0c2d705952b76ba2452a9cc34db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_42db52b029b0a090.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_42db52b029b0a090 +-- problem_id: v2p_m7_759ea551a3a38ceb +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "ever_married") AS "share_within_group" +FROM "m7" +GROUP BY "ever_married", "id" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4366cb377638a483.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4366cb377638a483.sql new file mode 100644 index 0000000000000000000000000000000000000000..06a088e886d117cc0ce925cbf20001144829ff0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4366cb377638a483.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_4366cb377638a483 +-- problem_id: v2p_m7_2a16e2be991b4c69 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "m7" +GROUP BY "work_type" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_445f1548a18bfa31.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_445f1548a18bfa31.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2ec41a214f780813c4023163bebaf2959436715 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_445f1548a18bfa31.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_445f1548a18bfa31 +-- problem_id: v2p_m7_45762c8c0e5a9953 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", + AVG(CASE WHEN "gender" = 'Female' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44865bcf0453647e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44865bcf0453647e.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ab611109a74d44c03b2356376301e0f002886a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44865bcf0453647e.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_44865bcf0453647e +-- problem_id: v2p_m7_71dd4f93e1884140 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44bbcf21e5814da6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44bbcf21e5814da6.sql new file mode 100644 index 0000000000000000000000000000000000000000..0f0c03fbb13de759d52d3af73ff3dda696206170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_44bbcf21e5814da6.sql @@ -0,0 +1,46 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_44bbcf21e5814da6 +-- problem_id: v2p_m7_66da435aae16c054 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "work_type", + CAST("id" AS REAL) AS "id_value", + ROW_NUMBER() OVER ( + PARTITION BY "work_type" + ORDER BY CAST("id" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "work_type" + ) AS "cnt" + FROM "m7" + WHERE "work_type" IS NOT NULL + AND TRIM("work_type") <> '' + AND "id" IS NOT NULL + AND TRIM("id") <> '' +), +"thresholds" AS ( + SELECT + "work_type", + "id_value", + "rn", + "cnt", + CAST((0.9 * "cnt") AS INTEGER) + ((0.9 * "cnt") > CAST((0.9 * "cnt") AS INTEGER)) AS "target_rn" + FROM "ranked" +) +SELECT + "work_type", + MAX(CASE WHEN "rn" = "target_rn" THEN "id_value" END) AS "percentile_measure" +FROM "thresholds" +GROUP BY "work_type" +HAVING MAX("cnt") >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46750f3a1775058d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46750f3a1775058d.sql new file mode 100644 index 0000000000000000000000000000000000000000..e076174e8e40cd9cd85f4652ca5630b5d15bcb8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46750f3a1775058d.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_46750f3a1775058d +-- problem_id: v2p_m7_0a45e89b803a1881 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN NULLIF("bmi", '') IS NULL THEN NULL WHEN CAST(NULLIF("bmi", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46a4dd6a2591854d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46a4dd6a2591854d.sql new file mode 100644 index 0000000000000000000000000000000000000000..948786193fb60c2dda8e8cb8bd356eb9e2970576 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_46a4dd6a2591854d.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_46a4dd6a2591854d +-- problem_id: v2p_m7_6213c92d6ac604c6 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("bmi" AS REAL) AS "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "bmi" IS NOT NULL AND "bmi" <> '' +) +SELECT "bmi" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "bmi" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4b5cbef29935adf2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4b5cbef29935adf2.sql new file mode 100644 index 0000000000000000000000000000000000000000..55c0f0629331e25671f863a00347a4ccfbc8a525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4b5cbef29935adf2.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_4b5cbef29935adf2 +-- problem_id: v2p_m7_6bd03985c6e507e0 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "hypertension" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4bf35883b84822bb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4bf35883b84822bb.sql new file mode 100644 index 0000000000000000000000000000000000000000..df1e3d2b4c3c0a9bd975cf64a27e867bc12b145e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4bf35883b84822bb.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_4bf35883b84822bb +-- problem_id: v2p_m7_cc95615c8ca26399 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "stroke", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "group_value" + FROM "m7" + WHERE "stroke" IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL + GROUP BY "stroke" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."stroke", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4caac7c7b4e0fe33.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4caac7c7b4e0fe33.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9eb803a4194776f5f10f377289f5bbc3d712652 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4caac7c7b4e0fe33.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_4caac7c7b4e0fe33 +-- problem_id: v2p_m7_07ef8c60f9e6193a +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoking_status", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "smoking_status") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "smoking_status", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4d5848cd17caed61.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4d5848cd17caed61.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee8e4da10402c9f1f29ca4e9e8ae0c5f2c1f5554 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4d5848cd17caed61.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_4d5848cd17caed61 +-- problem_id: v2p_m7_85015c09646a2701 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", + AVG(CASE WHEN "heart_disease" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4f12b7be60730b40.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4f12b7be60730b40.sql new file mode 100644 index 0000000000000000000000000000000000000000..67ca500504aa1dc1fdcb5286a4fd310ed2a30d33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_4f12b7be60730b40.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_4f12b7be60730b40 +-- problem_id: v2p_m7_861ecff7b1557d20 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "hypertension", + SUM(CASE WHEN "hypertension" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "hypertension" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "hypertension" +) +SELECT "hypertension", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5025de02a2389f0e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5025de02a2389f0e.sql new file mode 100644 index 0000000000000000000000000000000000000000..c3da85212536e63a4aa094fb3838ccd1cc0b721d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5025de02a2389f0e.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_5025de02a2389f0e +-- problem_id: v2p_m7_85f23bf422bbadcf +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("avg_glucose_level" AS REAL) <= 114.09 THEN 1.0 ELSE 0.0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_50f1fa50f943e408.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_50f1fa50f943e408.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c3b5353cc5e6ff294b7a45e6370a93a10d7d18f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_50f1fa50f943e408.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_50f1fa50f943e408 +-- problem_id: v2p_m7_2da138d52913f9c6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "heart_disease", + "bmi", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("bmi", '') IS NOT NULL +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_510b022dac468f99.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_510b022dac468f99.sql new file mode 100644 index 0000000000000000000000000000000000000000..0cd8a08821c29440a84a278aa69cfbd497f4e7ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_510b022dac468f99.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_510b022dac468f99 +-- problem_id: v2p_m7_03ff7942cea14528 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", "smoking_status", COUNT(*) AS row_count +FROM "m7" +WHERE "ever_married" = 'No' +GROUP BY "Residence_type", "smoking_status" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_513cc63fbf0f6393.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_513cc63fbf0f6393.sql new file mode 100644 index 0000000000000000000000000000000000000000..34df88327bbc363915963cd5803fe83c16ab50cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_513cc63fbf0f6393.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_513cc63fbf0f6393 +-- problem_id: v2p_m7_43c225c41623ce4d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "hypertension", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "hypertension" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_536cffbd63c75c63.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_536cffbd63c75c63.sql new file mode 100644 index 0000000000000000000000000000000000000000..26cbe4c2f1f40a45207d20d16735035a10f1cec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_536cffbd63c75c63.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_536cffbd63c75c63 +-- problem_id: v2p_m7_869cfeb9b88157a1 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "Residence_type") AS share_within_group +FROM "m7" +WHERE NULLIF("Residence_type", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("age", '') IS NOT NULL +GROUP BY "Residence_type", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_585c0dd3fab76e7b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_585c0dd3fab76e7b.sql new file mode 100644 index 0000000000000000000000000000000000000000..4b3b568991b5fc0d37091495b524148abee98516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_585c0dd3fab76e7b.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_585c0dd3fab76e7b +-- problem_id: v2p_m7_ed63f0cdf6c1cfe0 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "heart_disease", SUM(CAST("avg_glucose_level" AS REAL)) AS "group_value" + FROM "m7" + WHERE "heart_disease" IS NOT NULL + AND "heart_disease" <> '' + AND "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' + GROUP BY "heart_disease" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."heart_disease", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5915e918a835cb01.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5915e918a835cb01.sql new file mode 100644 index 0000000000000000000000000000000000000000..4bdf0411be8bce47b7b0e6dfe7b2505d26ebcc69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5915e918a835cb01.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_5915e918a835cb01 +-- problem_id: v2p_m7_ccc13efb2c2edc5b +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "heart_disease" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_598f81467a5c0900.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_598f81467a5c0900.sql new file mode 100644 index 0000000000000000000000000000000000000000..d0e02320853c52c6781fedcfbeb79af37a02167c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_598f81467a5c0900.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_598f81467a5c0900 +-- problem_id: v2p_m7_c64a5bee144fc747 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "stroke", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_59ba3a39bb4a9e50.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_59ba3a39bb4a9e50.sql new file mode 100644 index 0000000000000000000000000000000000000000..23cb49392fd0b1327bf904eab68690249dfebc14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_59ba3a39bb4a9e50.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_59ba3a39bb4a9e50 +-- problem_id: v2p_m7_3a2abcff86f87a38 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "hypertension", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "hypertension" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5abce03b3382472c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5abce03b3382472c.sql new file mode 100644 index 0000000000000000000000000000000000000000..ababc3de12bae0d486e99dd5c08cb6a3a0ee4acb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5abce03b3382472c.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_5abce03b3382472c +-- problem_id: v2p_m7_b3208958436c9524 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", + AVG(CASE WHEN "work_type" = 'Private' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "work_type" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5df1956148251baa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5df1956148251baa.sql new file mode 100644 index 0000000000000000000000000000000000000000..11020b7da3bc5176847d23eacecf96abf7528147 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_5df1956148251baa.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_5df1956148251baa +-- problem_id: v2p_m7_82265f18199169f5 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "smoking_status", + CAST("avg_glucose_level" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoking_status" + ORDER BY CAST("avg_glucose_level" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoking_status" + ) AS "cnt" + FROM "m7" + WHERE NULLIF("avg_glucose_level", '') IS NOT NULL +) +SELECT + "smoking_status", + "measure_value" AS "percentile_measure" +FROM "ranked" +WHERE "rn" = CAST(("cnt" * 0.95) + 0.999999 AS INT) +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_60d047e20351ba77.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_60d047e20351ba77.sql new file mode 100644 index 0000000000000000000000000000000000000000..5330c1b06dac363b09c3dd6662d77b47255c657b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_60d047e20351ba77.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_60d047e20351ba77 +-- problem_id: v2p_m7_dc8af2039aa4403a +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", + AVG(CASE WHEN "hypertension" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "hypertension" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_620d3017749bce96.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_620d3017749bce96.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7d0da212b971defe825460eddc00cbf024bfb5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_620d3017749bce96.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_620d3017749bce96 +-- problem_id: v2p_m7_7b39c6129d48c8f9 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_62b827a5b43cce35.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_62b827a5b43cce35.sql new file mode 100644 index 0000000000000000000000000000000000000000..62aee7f8b991c3c1f8c737431e72bac1eccbee3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_62b827a5b43cce35.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_62b827a5b43cce35 +-- problem_id: v2p_m7_4dbaf48a8fef4ad6 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +WHERE NULLIF("hypertension", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("age", '') IS NOT NULL +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6aa7a07f8be11103.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6aa7a07f8be11103.sql new file mode 100644 index 0000000000000000000000000000000000000000..a701f180da3a25afd00abb481074d087876b979b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6aa7a07f8be11103.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_6aa7a07f8be11103 +-- problem_id: v2p_m7_bd2e43035213ebd2 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "heart_disease", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6b4608b2bc577631.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6b4608b2bc577631.sql new file mode 100644 index 0000000000000000000000000000000000000000..95afe632fff61e05c604db5402f03abccfcf6dbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6b4608b2bc577631.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_6b4608b2bc577631 +-- problem_id: v2p_m7_5f4653522a16363f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "stroke" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "stroke" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6f57523339d4b581.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6f57523339d4b581.sql new file mode 100644 index 0000000000000000000000000000000000000000..c7e13222de7b5e546bfb01d0a1fc333562d7ed97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6f57523339d4b581.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_6f57523339d4b581 +-- problem_id: v2p_m7_8885b01fceb0b82d +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "smoking_status", COUNT(*) AS row_count +FROM "m7" +WHERE "hypertension" = '1' +GROUP BY "work_type", "smoking_status" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6fd798bebc907eda.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6fd798bebc907eda.sql new file mode 100644 index 0000000000000000000000000000000000000000..8092ddefd58ebc2212eb6b3bbf040e004794cd78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_6fd798bebc907eda.sql @@ -0,0 +1,16 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_6fd798bebc907eda +-- problem_id: v2p_m7_5fb6ccc6498951d4 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST(NULLIF("bmi", '') AS REAL) <= 33.1 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_715851230bfaff1e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_715851230bfaff1e.sql new file mode 100644 index 0000000000000000000000000000000000000000..0a6282d480c1e7c4c643ad17579e4945bbd1635f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_715851230bfaff1e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_715851230bfaff1e +-- problem_id: v2p_m7_973693e3d5dc65a7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "smoking_status", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "smoking_status" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_71ff7e6b8217b046.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_71ff7e6b8217b046.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd6305ea8299650b5c472e4f46966a633d07587b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_71ff7e6b8217b046.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_71ff7e6b8217b046 +-- problem_id: v2p_m7_9bd29cb750c3dc59 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "gender", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "gender" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7236ca9401396042.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7236ca9401396042.sql new file mode 100644 index 0000000000000000000000000000000000000000..1ca306edf21cf68c1d3c3de5487d988ec85f2971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7236ca9401396042.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_7236ca9401396042 +-- problem_id: v2p_m7_11ba55b9d752e109 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "Residence_type", COUNT(*) AS row_count +FROM "m7" +WHERE CAST(NULLIF("age", '') AS REAL) >= 61.0 +GROUP BY "work_type", "Residence_type" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73d708cb0433fa22.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73d708cb0433fa22.sql new file mode 100644 index 0000000000000000000000000000000000000000..61f15484a6100b8e2b2b8756050250936120a38d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73d708cb0433fa22.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_73d708cb0433fa22 +-- problem_id: v2p_m7_9b361325980fb305 +-- realization_mode: agent +-- source_kind: agent +SELECT + "hypertension", + "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +WHERE NULLIF("age", '') IS NOT NULL +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73eca76c5d055da2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73eca76c5d055da2.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba0d8d5459c662d862f557b0fe681214e6743590 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73eca76c5d055da2.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_73eca76c5d055da2 +-- problem_id: v2p_m7_5f053c4b1d97de8c +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "age", + SUM(CAST("id" AS NUMERIC)) AS "total_measure", + SUM(CAST("id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("id" AS NUMERIC))) OVER (PARTITION BY "gender") AS "share_within_group" +FROM "m7" +GROUP BY "gender", "age" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73f49e4ea98e6e18.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73f49e4ea98e6e18.sql new file mode 100644 index 0000000000000000000000000000000000000000..7dc214d6bfc5d5fdceaa58dcba988a390e323262 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_73f49e4ea98e6e18.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_73f49e4ea98e6e18 +-- problem_id: v2p_m7_51099655572a1b49 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ever_married", + "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "ever_married") AS share_within_group +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL +GROUP BY "ever_married", "id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_75942c79a8838eed.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_75942c79a8838eed.sql new file mode 100644 index 0000000000000000000000000000000000000000..330555c33a1c79b4e00465da6854029793410f9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_75942c79a8838eed.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_75942c79a8838eed +-- problem_id: v2p_m7_ef83b28304893d21 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7622198560f1020f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7622198560f1020f.sql new file mode 100644 index 0000000000000000000000000000000000000000..5de19c67c3dc9653d99fbdf6610cc79ee6e8c840 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7622198560f1020f.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_7622198560f1020f +-- problem_id: v2p_m7_e237d7e3881ffc47 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "work_type" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_76a2da6342fdd368.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_76a2da6342fdd368.sql new file mode 100644 index 0000000000000000000000000000000000000000..339c2dbd8b41e6d5c95d8f1fdff9f22cc18f7bb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_76a2da6342fdd368.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_76a2da6342fdd368 +-- problem_id: v2p_m7_e1c81300c993604c +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "id", + NTILE(10) OVER (ORDER BY CAST("id" AS INTEGER) DESC) AS tail_bucket + FROM "m7" +) +SELECT "id" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("id" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7732d4812ba98e39.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7732d4812ba98e39.sql new file mode 100644 index 0000000000000000000000000000000000000000..40b68a20ac37d0c682acf8f8b80a72816d9658a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7732d4812ba98e39.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_7732d4812ba98e39 +-- problem_id: v2p_m7_47b8bda8404fa3d4 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "id", + NTILE(10) OVER (ORDER BY CAST("id" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "id" IS NOT NULL AND "id" <> '' +) +SELECT "id" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("id" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_77486b3268980bbe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_77486b3268980bbe.sql new file mode 100644 index 0000000000000000000000000000000000000000..3032a1ba4a967f7983a3eef04b9880cac456d5a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_77486b3268980bbe.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_77486b3268980bbe +-- problem_id: v2p_m7_180324888122430f +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "Residence_type" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7e90a580f56dd36c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7e90a580f56dd36c.sql new file mode 100644 index 0000000000000000000000000000000000000000..96ed354983e80e63c62053691ea0edde6d1eb73b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7e90a580f56dd36c.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_7e90a580f56dd36c +-- problem_id: v2p_m7_05ca8a7aa466a2c1 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f04ae26676599ae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f04ae26676599ae.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb4e71ee4c8f41c7e7245dc35aaea02f4ae19d53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f04ae26676599ae.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_7f04ae26676599ae +-- problem_id: v2p_m7_6d2abf693c111527 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "smoking_status" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f5aef48015d8ab3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f5aef48015d8ab3.sql new file mode 100644 index 0000000000000000000000000000000000000000..e549f9106896bb7add21187b6c18b00ca99d1857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7f5aef48015d8ab3.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_7f5aef48015d8ab3 +-- problem_id: v2p_m7_31983739d2d5a3a4 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS group_value + FROM "m7" + WHERE NULLIF("age", '') IS NOT NULL + AND NULLIF("Residence_type", '') IS NOT NULL + GROUP BY "Residence_type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Residence_type", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7ffb11e94207ec02.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7ffb11e94207ec02.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7e63f1efe200b2e820653d9b5f145ff90edc38f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_7ffb11e94207ec02.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_7ffb11e94207ec02 +-- problem_id: v2p_m7_ed6f895ccb489826 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", COUNT("id") AS group_value + FROM "m7" + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_81c2f1cf295e25ee.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_81c2f1cf295e25ee.sql new file mode 100644 index 0000000000000000000000000000000000000000..44a83ab95d7ebeeec5e002d084b4340a3d55b07c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_81c2f1cf295e25ee.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_81c2f1cf295e25ee +-- problem_id: v2p_m7_c38b3b52958155e5 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "hypertension", SUM(CAST(NULLIF("age", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "hypertension" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."hypertension", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_8365ac699e415bc8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_8365ac699e415bc8.sql new file mode 100644 index 0000000000000000000000000000000000000000..fbf7a6d14e090f56f62a19f105d2132d0a09be00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_8365ac699e415bc8.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_8365ac699e415bc8 +-- problem_id: v2p_m7_a5f0a8b9a22a62c7 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "stroke" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_844b89dbeabe8f54.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_844b89dbeabe8f54.sql new file mode 100644 index 0000000000000000000000000000000000000000..e0fba5c0400267210982dc719b326597c06db573 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_844b89dbeabe8f54.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_844b89dbeabe8f54 +-- problem_id: v2p_m7_30b2fd7dac23b3a5 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("age" AS REAL) <= 61.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_86e39084e1c4012b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_86e39084e1c4012b.sql new file mode 100644 index 0000000000000000000000000000000000000000..a60853d08c48865bf6fc5f4b4c79e83496f63d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_86e39084e1c4012b.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_86e39084e1c4012b +-- problem_id: v2p_m7_eea2bf9a3ad1daee +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "hypertension" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "hypertension" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_874c61f1eafedb94.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_874c61f1eafedb94.sql new file mode 100644 index 0000000000000000000000000000000000000000..2de05e2d295c6d1613583c29224581425ea3c341 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_874c61f1eafedb94.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_874c61f1eafedb94 +-- problem_id: v2p_m7_09bba0692127206b +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "stroke" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "stroke" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_880913e3feadda72.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_880913e3feadda72.sql new file mode 100644 index 0000000000000000000000000000000000000000..b929edb27a929796eaa51756c22c76f966e33144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_880913e3feadda72.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_880913e3feadda72 +-- problem_id: v2p_m7_1cf739ace75606d9 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Residence_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "Residence_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9181d7c509074735.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9181d7c509074735.sql new file mode 100644 index 0000000000000000000000000000000000000000..c8e98b3aa4c5027d41401b8a5c9778b0509b1617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9181d7c509074735.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_9181d7c509074735 +-- problem_id: v2p_m7_0efa0063a7ff142b +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", "stroke", COUNT(*) AS "row_count" +FROM "m7" +WHERE "gender" = 'Male' +GROUP BY "ever_married", "stroke" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_924b721995c76fbf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_924b721995c76fbf.sql new file mode 100644 index 0000000000000000000000000000000000000000..f486e32d235761eafe071a253cec05a07ca06715 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_924b721995c76fbf.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_924b721995c76fbf +-- problem_id: v2p_m7_62a96c313dcde8d8 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "stroke") AS share_within_group +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL +GROUP BY "stroke", "id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_93b2e2feb2f9a7d6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_93b2e2feb2f9a7d6.sql new file mode 100644 index 0000000000000000000000000000000000000000..c217714f2e49a97fa0b3c3cbbee7b945ee6bbcf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_93b2e2feb2f9a7d6.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_93b2e2feb2f9a7d6 +-- problem_id: v2p_m7_f7b79fae09eb3a0d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "work_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "work_type" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_958125921e16eb7f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_958125921e16eb7f.sql new file mode 100644 index 0000000000000000000000000000000000000000..98f97d1101bda740c6ad4c3cf4567d4db3e36b1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_958125921e16eb7f.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_958125921e16eb7f +-- problem_id: v2p_m7_df00d575f0b9edb1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + AVG(CASE WHEN "gender" = 'Male' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_960643dc7c813b1c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_960643dc7c813b1c.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf98e9f47296411241e87f475051e82e5c5d203f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_960643dc7c813b1c.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_960643dc7c813b1c +-- problem_id: v2p_m7_5f3ac3d2663c9a52 +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", SUM(CAST(NULLIF("id", '') AS NUMERIC)) AS total_measure +FROM "m7" +GROUP BY "work_type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_968dac0449e93ff8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_968dac0449e93ff8.sql new file mode 100644 index 0000000000000000000000000000000000000000..2712d0fb5ced806da532063d4cb2e1748c263be0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_968dac0449e93ff8.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_968dac0449e93ff8 +-- problem_id: v2p_m7_6d77fe7dd0b70ac8 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "id", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m7" +GROUP BY "id" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_97f43592de64afc7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_97f43592de64afc7.sql new file mode 100644 index 0000000000000000000000000000000000000000..647c763a719d5af9791db479bff1dfea3b1eac38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_97f43592de64afc7.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_97f43592de64afc7 +-- problem_id: v2p_m7_fc479e71a7c76e68 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", "stroke", COUNT(*) AS row_count +FROM "m7" +WHERE "Residence_type" = 'Rural' +GROUP BY "smoking_status", "stroke" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9898c8838ce70fc6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9898c8838ce70fc6.sql new file mode 100644 index 0000000000000000000000000000000000000000..b8026b7aa5701278112ff221ad228d8d827ba5bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9898c8838ce70fc6.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_9898c8838ce70fc6 +-- problem_id: v2p_m7_a9a30c565fca20a6 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", COUNT("id") AS group_value + FROM "m7" + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9a9b7d94d35e5210.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9a9b7d94d35e5210.sql new file mode 100644 index 0000000000000000000000000000000000000000..827a316e99ce47d6637b394e8a019fc2ca2c5f19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9a9b7d94d35e5210.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_9a9b7d94d35e5210 +-- problem_id: v2p_m7_ea038a4cef88bee5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + "age", + SUM(CAST(NULLIF("id", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("id", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("id", '') AS REAL))) OVER (PARTITION BY "gender") AS share_within_group +FROM "m7" +GROUP BY "gender", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ad32eec36f071f9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ad32eec36f071f9.sql new file mode 100644 index 0000000000000000000000000000000000000000..88df966e473109f80b1843e95c40d9a86d460fb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ad32eec36f071f9.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_9ad32eec36f071f9 +-- problem_id: v2p_m7_6f40c5c4ea596e87 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Residence_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "Residence_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9bb6bd2ba43e899c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9bb6bd2ba43e899c.sql new file mode 100644 index 0000000000000000000000000000000000000000..5aed6e7b27a34fa413a7c0f20c3adafc32915b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9bb6bd2ba43e899c.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_9bb6bd2ba43e899c +-- problem_id: v2p_m7_af642d3cdbdfb253 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "row_num", + COUNT(*) OVER ( + PARTITION BY "Residence_type" + ) AS "n" + FROM "m7" + WHERE "age" IS NOT NULL + AND TRIM("age") <> '' +), +"params" AS ( + SELECT DISTINCT + "Residence_type", + (0.95 * ("n" - 1)) + 1.0 AS "pos", + CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) AS "lower_row", + CASE + WHEN ((0.95 * ("n" - 1)) + 1.0) = CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) + THEN CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) + ELSE CAST((0.95 * ("n" - 1)) + 1.0 AS INTEGER) + 1 + END AS "upper_row" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."Residence_type", + p."pos", + p."lower_row", + p."upper_row", + lo."age_value" AS "lower_value", + hi."age_value" AS "upper_value" + FROM "params" AS p + JOIN "ordered" AS lo + ON lo."Residence_type" = p."Residence_type" + AND lo."row_num" = p."lower_row" + JOIN "ordered" AS hi + ON hi."Residence_type" = p."Residence_type" + AND hi."row_num" = p."upper_row" +) +SELECT + "Residence_type", + CASE + WHEN "lower_row" = "upper_row" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_row") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ef0dcf1d41d86d9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ef0dcf1d41d86d9.sql new file mode 100644 index 0000000000000000000000000000000000000000..ebc80e3ac6fcbdbf8178a14d92cbf472d8a12da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_9ef0dcf1d41d86d9.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_9ef0dcf1d41d86d9 +-- problem_id: v2p_m7_a495ffc428fe3316 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "id", + NTILE(10) OVER (ORDER BY CAST("id" AS REAL) DESC) AS "tail_bucket" + FROM "m7" +) +SELECT "id" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("id" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a207cc0edf9f71c3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a207cc0edf9f71c3.sql new file mode 100644 index 0000000000000000000000000000000000000000..ea16e5bf750c92e712e1df88f31f31daf3a43ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a207cc0edf9f71c3.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m7_a207cc0edf9f71c3 +-- problem_id: v2p_m7_26f2260b7192b757 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gender", + COUNT(*) AS support +FROM "m7" +GROUP BY "gender" +ORDER BY support ASC, "gender" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a9e4e642f46f1792.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a9e4e642f46f1792.sql new file mode 100644 index 0000000000000000000000000000000000000000..5358960fe81c622a1d2a42d295d8425862b91bac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_a9e4e642f46f1792.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_a9e4e642f46f1792 +-- problem_id: v2p_m7_24fa116ea7ea05d3 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "heart_disease", + SUM(CASE WHEN "heart_disease" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "heart_disease" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "heart_disease" +) +SELECT "heart_disease", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_aad44fa6f97a6b05.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_aad44fa6f97a6b05.sql new file mode 100644 index 0000000000000000000000000000000000000000..065b58024bbff359df404bb76bcb14b048413f61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_aad44fa6f97a6b05.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_aad44fa6f97a6b05 +-- problem_id: v2p_m7_d5c015c4fb295492 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("avg_glucose_level") AS avg_response +FROM "m7" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af50bf1ddbf537eb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af50bf1ddbf537eb.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9feafee7c768aeeacc68b08880b42341e6f8cc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af50bf1ddbf537eb.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_af50bf1ddbf537eb +-- problem_id: v2p_m7_8a8aeee3f86c200d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("avg_glucose_level") AS avg_response +FROM "m7" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af66ac68934bf3fd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af66ac68934bf3fd.sql new file mode 100644 index 0000000000000000000000000000000000000000..b827fb01d32953e1ddbdd7591b96fe281dd3544c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_af66ac68934bf3fd.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_af66ac68934bf3fd +-- problem_id: v2p_m7_348262b028457439 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", + AVG(CASE WHEN "ever_married" = 'No' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "ever_married" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b084a117851d0619.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b084a117851d0619.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2a41299b90fa08bfb5b60580c9960a59fc1d989 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b084a117851d0619.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_b084a117851d0619 +-- problem_id: v2p_m7_c9af894fc983410a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "hypertension", + SUM(CAST("age" AS REAL)) AS group_value + FROM "m7" + WHERE "hypertension" IS NOT NULL + AND "hypertension" <> '' + AND "age" IS NOT NULL + AND "age" <> '' + GROUP BY "hypertension" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."hypertension", + g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b08e570d67b10bd1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b08e570d67b10bd1.sql new file mode 100644 index 0000000000000000000000000000000000000000..0a3b9fdd18bb4a83354c602d4a628f501fdb62f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b08e570d67b10bd1.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_b08e570d67b10bd1 +-- problem_id: v2p_m7_f14a321d34395209 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "id", + COUNT(*) AS support, + AVG("avg_glucose_level") AS avg_response +FROM "m7" +GROUP BY "id" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b09ded987d65335e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b09ded987d65335e.sql new file mode 100644 index 0000000000000000000000000000000000000000..9036cafec16f1d46335a89bb96edf61fc1a0a1fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b09ded987d65335e.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_b09ded987d65335e +-- problem_id: v2p_m7_ff58332712e729ef +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "hypertension", + AVG(CAST(NULLIF("age", '') AS REAL)) OVER (PARTITION BY "hypertension") AS avg_measure +FROM "m7" +WHERE NULLIF("age", '') IS NOT NULL +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0c227029fe102d1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0c227029fe102d1.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2faaa4f064a2be6fbf65aa6f70236e5fbe84e44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0c227029fe102d1.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_b0c227029fe102d1 +-- problem_id: v2p_m7_33f7eef62af34dd1 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", "id", + SUM(CAST(NULLIF("bmi", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("bmi", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("bmi", '') AS REAL))) OVER (PARTITION BY "stroke") AS share_within_group +FROM "m7" +WHERE NULLIF("bmi", '') IS NOT NULL +GROUP BY "stroke", "id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0ce2555f72257fa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0ce2555f72257fa.sql new file mode 100644 index 0000000000000000000000000000000000000000..f37a4ccfeca70534d86632d96dbbda43283d63f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0ce2555f72257fa.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_b0ce2555f72257fa +-- problem_id: v2p_m7_a4edcf6c5392ffbd +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("id" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0e50969a4299845.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0e50969a4299845.sql new file mode 100644 index 0000000000000000000000000000000000000000..4ed70dd3d3caf2fffdebaea2a7a1ccde1eadee91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b0e50969a4299845.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_b0e50969a4299845 +-- problem_id: v2p_m7_09ca372f8c0a42c6 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + CUME_DIST() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "cum_dist" + FROM "m7" + WHERE "age" IS NOT NULL + AND "age" <> '' +) +SELECT + "Residence_type", + MIN("age_value") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.9 +GROUP BY "Residence_type" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b122600f1acc127d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b122600f1acc127d.sql new file mode 100644 index 0000000000000000000000000000000000000000..0f4dbe41a6667cbfffd81b1c1e8079c47d88090d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b122600f1acc127d.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m7_b122600f1acc127d +-- problem_id: v2p_m7_f747ff8ae9be2f1d +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("id" AS REAL) <= 54682.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2a16e0949f33414.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2a16e0949f33414.sql new file mode 100644 index 0000000000000000000000000000000000000000..c40e5efa7e90ae3283d23521f1168f12ccd6f9d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2a16e0949f33414.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_b2a16e0949f33414 +-- problem_id: v2p_m7_fe70a14b335cf99f +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "m7" +GROUP BY "gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2b34b2af67ba04f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2b34b2af67ba04f.sql new file mode 100644 index 0000000000000000000000000000000000000000..ea5a1b8764c6fb16c33267a1917d7feb923d9bec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b2b34b2af67ba04f.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_b2b34b2af67ba04f +-- problem_id: v2p_m7_5c3abaa67f025725 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", SUM(CAST("id" AS NUMERIC)) AS total_measure +FROM "m7" +GROUP BY "gender" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b47b5e0921996824.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b47b5e0921996824.sql new file mode 100644 index 0000000000000000000000000000000000000000..457e04e5aca1b3e7daff45484f8cb670120177a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b47b5e0921996824.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_b47b5e0921996824 +-- problem_id: v2p_m7_a6ec3d0bf4db7997 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "avg_glucose_level", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "m7" +GROUP BY "avg_glucose_level" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b511c43b0b93626a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b511c43b0b93626a.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad8f90fc8a66e6cdb7f0799641df25f41af22ba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b511c43b0b93626a.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_b511c43b0b93626a +-- problem_id: v2p_m7_7d85ed2736719a04 +-- realization_mode: agent +-- source_kind: agent +WITH "filtered" AS ( + SELECT + "hypertension", + CAST("age" AS REAL) AS "age" + FROM "m7" + WHERE NULLIF(TRIM("hypertension"), '') IS NOT NULL + AND NULLIF(TRIM("age"), '') IS NOT NULL +), "grouped" AS ( + SELECT "hypertension", SUM("age") AS "group_value" + FROM "filtered" + GROUP BY "hypertension" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."hypertension", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b6f9cc6b7d0f650f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b6f9cc6b7d0f650f.sql new file mode 100644 index 0000000000000000000000000000000000000000..325215d5e16ca4dc18c06480c2289fdd1308cbfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b6f9cc6b7d0f650f.sql @@ -0,0 +1,67 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_b6f9cc6b7d0f650f +-- problem_id: v2p_m7_a9d36a60f58264b2 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "gender", + CAST("id" AS REAL) AS "measure" + FROM "m7" + WHERE "id" IS NOT NULL + AND "id" <> '' +), +"ranked" AS ( + SELECT + "gender", + "measure", + ROW_NUMBER() OVER ( + PARTITION BY "gender" + ORDER BY "measure" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "gender" + ) AS "n" + FROM "base" +), +"positions" AS ( + SELECT DISTINCT + "gender", + (1.0 + 0.9 * ("n" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER) AS "lo_rn", + CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER) + (((1.0 + 0.9 * ("n" - 1)) > CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER))) AS "hi_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + p."gender", + p."pos", + p."lo_rn", + p."hi_rn", + MAX(CASE WHEN r."rn" = p."lo_rn" THEN r."measure" END) AS "lo_val", + MAX(CASE WHEN r."rn" = p."hi_rn" THEN r."measure" END) AS "hi_val" + FROM "positions" AS p + JOIN "ranked" AS r + ON r."gender" = p."gender" + GROUP BY + p."gender", + p."pos", + p."lo_rn", + p."hi_rn" +) +SELECT + "gender", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_val" + ELSE "lo_val" + (("pos" - "lo_rn") * ("hi_val" - "lo_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b869a583d129662d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b869a583d129662d.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a01678637e21132f674cbdfc2bf5613a5f5a66b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b869a583d129662d.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_b869a583d129662d +-- problem_id: v2p_m7_10ac86641ae41e95 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "ever_married", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "ever_married" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."ever_married", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9322ee50fb4cf81.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9322ee50fb4cf81.sql new file mode 100644 index 0000000000000000000000000000000000000000..3d27d335f873ceff9e530942a631532379bb297e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9322ee50fb4cf81.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_b9322ee50fb4cf81 +-- problem_id: v2p_m7_fa57b40a75a960b4 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "smoking_status" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9a7502e5a951249.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9a7502e5a951249.sql new file mode 100644 index 0000000000000000000000000000000000000000..36340c41241c73db54cff5bd94ff3f924a2b1453 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_b9a7502e5a951249.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_b9a7502e5a951249 +-- problem_id: v2p_m7_5e52e39309079f74 +-- realization_mode: agent +-- source_kind: agent +SELECT "stroke", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS "total_measure" +FROM "m7" +GROUP BY "stroke" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba167f6d35bc003f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba167f6d35bc003f.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a0bde2f7f646a19361496dd04d6c13c72007702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba167f6d35bc003f.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_ba167f6d35bc003f +-- problem_id: v2p_m7_576dace6dcbc69be +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "gender", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "gender" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba2eee026ced1030.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba2eee026ced1030.sql new file mode 100644 index 0000000000000000000000000000000000000000..82bc1808dc438836b45f24d4ec4a415137b88813 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ba2eee026ced1030.sql @@ -0,0 +1,42 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_ba2eee026ced1030 +-- problem_id: v2p_m7_25c1195ee671d671 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "heart_disease", + CAST("avg_glucose_level" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "heart_disease" + ORDER BY CAST("avg_glucose_level" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "heart_disease" + ) AS "cnt" + FROM "m7" + WHERE "heart_disease" IS NOT NULL + AND "avg_glucose_level" IS NOT NULL + AND TRIM("avg_glucose_level") <> '' +), +"picked" AS ( + SELECT + "heart_disease", + MIN("measure_value") AS "percentile_measure" + FROM "ranked" + WHERE "rn" >= CAST((("cnt" * 95) + 99) / 100 AS INTEGER) + GROUP BY "heart_disease" +) +SELECT + "heart_disease", + "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bb835f8f4ef24bcb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bb835f8f4ef24bcb.sql new file mode 100644 index 0000000000000000000000000000000000000000..3f74a4b13e375d31686db00d53cbb489016e9569 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bb835f8f4ef24bcb.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_bb835f8f4ef24bcb +-- problem_id: v2p_m7_fe4b103112ff7a20 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "hypertension", SUM(CAST(NULLIF("age", '') AS REAL)) AS "group_value" + FROM "m7" + GROUP BY "hypertension" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT "g"."hypertension", "g"."group_value" +FROM "grouped" AS "g" +CROSS JOIN "total" AS "t" +WHERE "g"."group_value" > "t"."total_value" * 0.05 +ORDER BY "g"."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bd23d9c21a243294.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bd23d9c21a243294.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d0c13e6fab8cd6c1df1a7120bd3f0a00238d3ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_bd23d9c21a243294.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_bd23d9c21a243294 +-- problem_id: v2p_m7_a970f2a6f215f31a +-- realization_mode: agent +-- source_kind: agent +SELECT "work_type", "age", + SUM(CAST(NULLIF("id", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("id", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("id", '') AS REAL))) OVER (PARTITION BY "work_type") AS share_within_group +FROM "m7" +GROUP BY "work_type", "age" +ORDER BY share_within_group DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be2c8c47d3e3f944.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be2c8c47d3e3f944.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad91dc8e400c033a2ab1bbdcff9c9a437ecef063 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be2c8c47d3e3f944.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_be2c8c47d3e3f944 +-- problem_id: v2p_m7_885170e5c7eac13a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "heart_disease" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "heart_disease" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be6518e5f2d9aa6a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be6518e5f2d9aa6a.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bd8763f4d1c9f9c49167b730a5e8a3d8a2a866d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_be6518e5f2d9aa6a.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_be6518e5f2d9aa6a +-- problem_id: v2p_m7_b849155228009ac1 +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", + AVG(CASE WHEN "hypertension" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "hypertension" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c08ff4bb357a2f1e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c08ff4bb357a2f1e.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd05c5f586fda048490faabda8d3ac5f77d44aeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c08ff4bb357a2f1e.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_c08ff4bb357a2f1e +-- problem_id: v2p_m7_6d8f116ba25cb071 +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", + AVG(CASE WHEN "gender" = 'Female' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m7" +GROUP BY "gender" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c0c60e1d1bddb308.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c0c60e1d1bddb308.sql new file mode 100644 index 0000000000000000000000000000000000000000..00c372b35679d94b84ed2a0f555316b199bf5d53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c0c60e1d1bddb308.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m7_c0c60e1d1bddb308 +-- problem_id: v2p_m7_04fc434081c4cafb +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", COUNT(*) AS "row_count" +FROM "m7" +GROUP BY "hypertension" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c1b0d1282da280d7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c1b0d1282da280d7.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3d6de03baab94e6f4048c113068f25968daf466 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c1b0d1282da280d7.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m7_c1b0d1282da280d7 +-- problem_id: v2p_m7_70c8deb5b6f4ba53 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoking_status", + AVG(CASE WHEN "smoking_status" = 'never smoked' THEN 1 ELSE 0 END) AS condition_rate +FROM "m7" +GROUP BY "smoking_status" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c508d3a2b1f9ad76.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c508d3a2b1f9ad76.sql new file mode 100644 index 0000000000000000000000000000000000000000..0c177ea9e317d9f409692fe3fc935250986041ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c508d3a2b1f9ad76.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_c508d3a2b1f9ad76 +-- problem_id: v2p_m7_084e3c2bb0f78762 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ever_married", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "ever_married" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c56c5dae4967c8ac.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c56c5dae4967c8ac.sql new file mode 100644 index 0000000000000000000000000000000000000000..df4c0831d1fce8695dff619e8a1ce7e537028bc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c56c5dae4967c8ac.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_c56c5dae4967c8ac +-- problem_id: v2p_m7_259fb442763e4cce +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Residence_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "Residence_type" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c65e7d1a55bae35e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c65e7d1a55bae35e.sql new file mode 100644 index 0000000000000000000000000000000000000000..1a3414b76bfeda29fc5e1751da0739b408548eac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c65e7d1a55bae35e.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_c65e7d1a55bae35e +-- problem_id: v2p_m7_3f0a4a99b95e58b1 +-- realization_mode: agent +-- source_kind: agent +SELECT "heart_disease", "bmi", + SUM(CAST("avg_glucose_level" AS REAL)) AS total_measure, + SUM(CAST("avg_glucose_level" AS REAL)) * 100.0 / SUM(SUM(CAST("avg_glucose_level" AS REAL))) OVER (PARTITION BY "heart_disease") AS share_within_group +FROM "m7" +WHERE "avg_glucose_level" <> '' AND "bmi" <> '' +GROUP BY "heart_disease", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c7a9c406148170f8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c7a9c406148170f8.sql new file mode 100644 index 0000000000000000000000000000000000000000..953fa7bfb134de674d4f08d4ee0675f4f881768c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c7a9c406148170f8.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_c7a9c406148170f8 +-- problem_id: v2p_m7_7fc2da3648172930 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "hypertension", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "hypertension" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "hypertension") AS "cnt" + FROM "m7" + WHERE "age" IS NOT NULL + AND TRIM("age") <> '' +) +SELECT + "hypertension", + "age_value" AS "percentile_measure" +FROM "ranked" +WHERE "rn" = CAST((0.95 * "cnt") + 0.999999999999 AS INTEGER) +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c8c8170b9ca274b5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c8c8170b9ca274b5.sql new file mode 100644 index 0000000000000000000000000000000000000000..a6c53003729694fed78848f653515743213a8be8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c8c8170b9ca274b5.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_c8c8170b9ca274b5 +-- problem_id: v2p_m7_2adc53111c2defee +-- realization_mode: agent +-- source_kind: agent +SELECT "gender", "hypertension", COUNT(*) AS row_count +FROM "m7" +WHERE CAST(NULLIF("avg_glucose_level", '') AS REAL) >= 114.09 +GROUP BY "gender", "hypertension" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c9f879af9b57fc7b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c9f879af9b57fc7b.sql new file mode 100644 index 0000000000000000000000000000000000000000..7c4d5bdd82801628e28c57e4ad2c39df200381c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_c9f879af9b57fc7b.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_c9f879af9b57fc7b +-- problem_id: v2p_m7_802acab7b667ec58 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoking_status", + SUM(CASE WHEN "smoking_status" = 'never smoked' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "smoking_status" = 'Unknown' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "smoking_status" +) +SELECT "smoking_status", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cc21fd69662116ef.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cc21fd69662116ef.sql new file mode 100644 index 0000000000000000000000000000000000000000..7994fb5436dbb9e951f3df66a2a9ca516aab73e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cc21fd69662116ef.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_cc21fd69662116ef +-- problem_id: v2p_m7_38edaf3a8e304d86 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "smoking_status", + SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS group_value + FROM "m7" + WHERE NULLIF("smoking_status", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + GROUP BY "smoking_status" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."smoking_status", + g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cfe9ac8045db8000.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cfe9ac8045db8000.sql new file mode 100644 index 0000000000000000000000000000000000000000..358329e83ed04da009040426e65a6a4c93e31fd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_cfe9ac8045db8000.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_cfe9ac8045db8000 +-- problem_id: v2p_m7_13d135ac2e571680 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "work_type", + SUM(CASE WHEN "work_type" = 'Private' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "work_type" = 'Self-employed' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "work_type" +) +SELECT "work_type", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d181dfb12e1102f6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d181dfb12e1102f6.sql new file mode 100644 index 0000000000000000000000000000000000000000..408a547501a43a743345a77de7cefafd05a89ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d181dfb12e1102f6.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_d181dfb12e1102f6 +-- problem_id: v2p_m7_cfcdc0834aa6708d +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "work_type", + CAST("id" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "work_type" + ORDER BY CAST("id" AS REAL) + ) AS "cume_dist_value" + FROM "m7" + WHERE "work_type" IS NOT NULL + AND TRIM("work_type") <> '' + AND "id" IS NOT NULL + AND TRIM("id") <> '' +) +SELECT + "work_type", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist_value" >= 0.95 +GROUP BY "work_type" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d1c17a4c35a64bc8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d1c17a4c35a64bc8.sql new file mode 100644 index 0000000000000000000000000000000000000000..c1f6ed94a40f63dd2dc900b51c0b4cef484da6b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d1c17a4c35a64bc8.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_d1c17a4c35a64bc8 +-- problem_id: v2p_m7_65e7be876a2296ec +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "stroke", + AVG(CAST(NULLIF("bmi", '') AS REAL)) OVER (PARTITION BY "stroke") AS avg_measure +FROM "m7" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d3a238c7a187a6cb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d3a238c7a187a6cb.sql new file mode 100644 index 0000000000000000000000000000000000000000..07407453b461a80557d3ca8d358ed348b98c0639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d3a238c7a187a6cb.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_d3a238c7a187a6cb +-- problem_id: v2p_m7_0b9fe92af68dcc33 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ever_married" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "ever_married" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d4a0a662a8b44262.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d4a0a662a8b44262.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f3cc9472f00d36eeeb28f9cc4971701f4425b14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d4a0a662a8b44262.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_d4a0a662a8b44262 +-- problem_id: v2p_m7_ea78088518da1235 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Residence_type", + SUM(CASE WHEN "Residence_type" = 'Urban' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Residence_type" = 'Rural' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "Residence_type" +) +SELECT "Residence_type", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d59985bcb08eb7d7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d59985bcb08eb7d7.sql new file mode 100644 index 0000000000000000000000000000000000000000..2ea092232c71fad228a9fe31c2c18bf344094b5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d59985bcb08eb7d7.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_d59985bcb08eb7d7 +-- problem_id: v2p_m7_546de7bb88583334 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoking_status" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "smoking_status" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d8ed040927b1d9ba.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d8ed040927b1d9ba.sql new file mode 100644 index 0000000000000000000000000000000000000000..747ded912eecdcf4dca1719497c20bcd38ebe870 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_d8ed040927b1d9ba.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_d8ed040927b1d9ba +-- problem_id: v2p_m7_c0c7cd9731eaf85b +-- realization_mode: agent +-- source_kind: agent +SELECT "hypertension", "avg_glucose_level", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "hypertension") AS share_within_group +FROM "m7" +WHERE "hypertension" IS NOT NULL AND "hypertension" <> '' + AND "avg_glucose_level" IS NOT NULL AND "avg_glucose_level" <> '' + AND "age" IS NOT NULL AND "age" <> '' +GROUP BY "hypertension", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dc4011a1f7028e95.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dc4011a1f7028e95.sql new file mode 100644 index 0000000000000000000000000000000000000000..4819fc9ca173d38b02f3e03fbcb0cb8f75208e4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dc4011a1f7028e95.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m7_dc4011a1f7028e95 +-- problem_id: v2p_m7_881a3b4219c8f6d2 +-- realization_mode: agent +-- source_kind: agent +SELECT "ever_married", "smoking_status", COUNT(*) AS "row_count" +FROM "m7" +WHERE CAST("id" AS REAL) >= 54682.0 +GROUP BY "ever_married", "smoking_status" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ddd2f4c83387d847.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ddd2f4c83387d847.sql new file mode 100644 index 0000000000000000000000000000000000000000..572bc4bc3f113638b46ad17a9d3acee898c86401 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ddd2f4c83387d847.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_ddd2f4c83387d847 +-- problem_id: v2p_m7_6ac10830c1fe7db3 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "work_type", COUNT("id") AS "group_value" + FROM "m7" + GROUP BY "work_type" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."work_type", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_de843eb43252a09d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_de843eb43252a09d.sql new file mode 100644 index 0000000000000000000000000000000000000000..418fcff403090c77e4b524df6638f7a319fa58a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_de843eb43252a09d.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_m7_de843eb43252a09d +-- problem_id: v2p_m7_6b728b070d461482 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_deda9bb27b676502.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_deda9bb27b676502.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d0fe1e84f733ad5df3f7715612e17fca8d55013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_deda9bb27b676502.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_deda9bb27b676502 +-- problem_id: v2p_m7_ea41f0368617dec2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", + SUM(CASE WHEN "gender" = 'Female' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "gender" = 'Male' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "gender" +) +SELECT "gender", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df0a022e597fc63d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df0a022e597fc63d.sql new file mode 100644 index 0000000000000000000000000000000000000000..afe775b697835af6d3c35801d71e2c80c9385a04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df0a022e597fc63d.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_df0a022e597fc63d +-- problem_id: v2p_m7_48d515cc3124e420 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "id", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m7" +GROUP BY "id" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df39f1f88b6adb30.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df39f1f88b6adb30.sql new file mode 100644 index 0000000000000000000000000000000000000000..688aa1671590c9c0411059293539f22f351adde3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_df39f1f88b6adb30.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m7_df39f1f88b6adb30 +-- problem_id: v2p_m7_50334caee49947ac +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "work_type", + AVG(CAST("id" AS REAL)) OVER (PARTITION BY "work_type") AS avg_measure +FROM "m7" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dff335af3a7578ee.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dff335af3a7578ee.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee24cb95b45328b9f0a4bc36e408fbdf0953a042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_dff335af3a7578ee.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_dff335af3a7578ee +-- problem_id: v2p_m7_3e264c1ff2265806 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "heart_disease", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "heart_disease" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e289d2b2ea093970.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e289d2b2ea093970.sql new file mode 100644 index 0000000000000000000000000000000000000000..93ffbfa2ea95575e58bfd1a2d32b8b292df7d90b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e289d2b2ea093970.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_e289d2b2ea093970 +-- problem_id: v2p_m7_c9f1fcbe51ba12f4 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "m7" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e2f329879d8e6a81.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e2f329879d8e6a81.sql new file mode 100644 index 0000000000000000000000000000000000000000..56e726f8d55e37585c8b953d25cb358ac0a369eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e2f329879d8e6a81.sql @@ -0,0 +1,69 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_e2f329879d8e6a81 +-- problem_id: v2p_m7_af1b808818de5986 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "smoking_status" AS "group_col", + CAST("avg_glucose_level" AS REAL) AS "measure" + FROM "m7" + WHERE "smoking_status" IS NOT NULL + AND "smoking_status" <> '' + AND "avg_glucose_level" IS NOT NULL + AND "avg_glucose_level" <> '' +), +"ranked" AS ( + SELECT + "group_col", + "measure", + ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure") AS "rn", + COUNT(*) OVER (PARTITION BY "group_col") AS "n" + FROM "base" +), +"params" AS ( + SELECT DISTINCT + "group_col", + "n", + 1.0 + 0.9 * ("n" - 1) AS "h", + CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) AS "lo_rn", + CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + CASE + WHEN (1.0 + 0.9 * ("n" - 1)) > CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) THEN 1 + ELSE 0 + END AS "hi_rn" + FROM "ranked" + WHERE "n" >= 5 +), +"picked" AS ( + SELECT + p."group_col", + p."h", + p."lo_rn", + p."hi_rn", + MAX(CASE WHEN r."rn" = p."lo_rn" THEN r."measure" END) AS "lo_val", + MAX(CASE WHEN r."rn" = p."hi_rn" THEN r."measure" END) AS "hi_val" + FROM "params" AS p + JOIN "ranked" AS r + ON r."group_col" = p."group_col" + GROUP BY + p."group_col", + p."h", + p."lo_rn", + p."hi_rn" +) +SELECT + "group_col" AS "smoking_status", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_val" + ELSE "lo_val" + ("h" - "lo_rn") * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e352007df373a7cd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e352007df373a7cd.sql new file mode 100644 index 0000000000000000000000000000000000000000..b87f084de64647e8286837ca6c139686848aef6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e352007df373a7cd.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_e352007df373a7cd +-- problem_id: v2p_m7_2e726dc89de95abc +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Residence_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "Residence_type" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e40abd3fe2d08427.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e40abd3fe2d08427.sql new file mode 100644 index 0000000000000000000000000000000000000000..ef1538d465d1b73852a59864e52c9ec6ea26c18b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e40abd3fe2d08427.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m7_e40abd3fe2d08427 +-- problem_id: v2p_m7_d255563c12e1c424 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS tail_bucket + FROM "m7" + WHERE "age" IS NOT NULL AND "age" <> '' +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e43796e9748a8139.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e43796e9748a8139.sql new file mode 100644 index 0000000000000000000000000000000000000000..19625ec8db9b714b7985f0e9e7d40413a8eec634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e43796e9748a8139.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_e43796e9748a8139 +-- problem_id: v2p_m7_95741ad3bdf78e2e +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "work_type", SUM(CAST("id" AS REAL)) AS "group_value" + FROM "m7" + GROUP BY "work_type" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."work_type", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e4767ace0a1bf7f6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e4767ace0a1bf7f6.sql new file mode 100644 index 0000000000000000000000000000000000000000..cec3cf2e6ea014d83287a991db49abd2208de77f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e4767ace0a1bf7f6.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_e4767ace0a1bf7f6 +-- problem_id: v2p_m7_357ffd8dc030f0c0 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "smoking_status", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "smoking_status" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e5b7fcd17fd34e8e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e5b7fcd17fd34e8e.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca65a0492d4941f78c6bb681be52391cf06bc1e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e5b7fcd17fd34e8e.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_e5b7fcd17fd34e8e +-- problem_id: v2p_m7_39a3463e49b99e7a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "stroke", SUM(CAST(NULLIF("bmi", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "stroke" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."stroke", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e686eeace0d8a58a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e686eeace0d8a58a.sql new file mode 100644 index 0000000000000000000000000000000000000000..561424087cbc8e5238095828cd596dd5699a62e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_e686eeace0d8a58a.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m7_e686eeace0d8a58a +-- problem_id: v2p_m7_c7fa7f8c4d2d8d99 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "heart_disease" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "heart_disease" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ea8a74383453f631.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ea8a74383453f631.sql new file mode 100644 index 0000000000000000000000000000000000000000..e4bd9c7e79cbc1c09ed403bae2a4fe48bafd1dfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ea8a74383453f631.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m7_ea8a74383453f631 +-- problem_id: v2p_m7_9a6d4b0eb5ce4944 +-- realization_mode: agent +-- source_kind: agent +SELECT "Residence_type", SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure +FROM "m7" +GROUP BY "Residence_type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ebe2372fc5d49781.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ebe2372fc5d49781.sql new file mode 100644 index 0000000000000000000000000000000000000000..898efbe2a755194cd94ce5bdab59b6ceb7323f9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ebe2372fc5d49781.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_ebe2372fc5d49781 +-- problem_id: v2p_m7_a23246231aada6ed +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gender", SUM(CAST("id" AS REAL)) AS group_value + FROM "m7" + WHERE "gender" IS NOT NULL + AND "gender" <> '' + AND "id" IS NOT NULL + AND "id" <> '' + GROUP BY "gender" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gender", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ec97681ad9c96bad.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ec97681ad9c96bad.sql new file mode 100644 index 0000000000000000000000000000000000000000..a136472cbf63a8e4886a9c3663a535ee8a37494e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ec97681ad9c96bad.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_ec97681ad9c96bad +-- problem_id: v2p_m7_d1f70fac73cf24a7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "work_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "work_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ece12ccad72f5b76.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ece12ccad72f5b76.sql new file mode 100644 index 0000000000000000000000000000000000000000..f4ad6b99ca6334f6bece5294951264637e0d75d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ece12ccad72f5b76.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_ece12ccad72f5b76 +-- problem_id: v2p_m7_203704ab0f8f4f79 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "m7" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_efe585d524d69d6d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_efe585d524d69d6d.sql new file mode 100644 index 0000000000000000000000000000000000000000..4abcc258e5cee4c59e82e364713a9b7418c8d664 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_efe585d524d69d6d.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_efe585d524d69d6d +-- problem_id: v2p_m7_e138e5b6f4e9fc54 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m7" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f221bc2687d7840e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f221bc2687d7840e.sql new file mode 100644 index 0000000000000000000000000000000000000000..2cea3fb174f6a03f38b2397ef2dfe3aa209ccc7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f221bc2687d7840e.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_f221bc2687d7840e +-- problem_id: v2p_m7_e34921febcaef73f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "work_type", + SUM(CASE WHEN "work_type" = 'Private' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "work_type" = 'Self-employed' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m7" + GROUP BY "work_type" +) +SELECT "work_type", + CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio" +FROM grouped +ORDER BY "condition_ratio" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f2f2779a92ddbb85.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f2f2779a92ddbb85.sql new file mode 100644 index 0000000000000000000000000000000000000000..8127eee1395564206d8a5ccbded1ebc8ad088d30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f2f2779a92ddbb85.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m7_f2f2779a92ddbb85 +-- problem_id: v2p_m7_78cdeac66cfc98f2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "stroke", + SUM(CASE WHEN "stroke" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "stroke" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m7" + GROUP BY "stroke" +) +SELECT "stroke", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f448f173aa9b8b5f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f448f173aa9b8b5f.sql new file mode 100644 index 0000000000000000000000000000000000000000..b042bfef57ba069937711f8a39ef25f37e5ec55e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f448f173aa9b8b5f.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m7_f448f173aa9b8b5f +-- problem_id: v2p_m7_41e9bb42b4b72541 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Residence_type", + "avg_glucose_level", + SUM(CAST(NULLIF("age", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("age", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("age", '') AS REAL))) OVER (PARTITION BY "Residence_type") AS share_within_group +FROM "m7" +WHERE NULLIF("Residence_type", '') IS NOT NULL + AND NULLIF("avg_glucose_level", '') IS NOT NULL + AND NULLIF("age", '') IS NOT NULL +GROUP BY "Residence_type", "avg_glucose_level" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f62c77f06c666b1d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f62c77f06c666b1d.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f72e0480233d8871cb0fefaff2b9c09f1c2e0b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_f62c77f06c666b1d.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m7_f62c77f06c666b1d +-- problem_id: v2p_m7_ab85ccd8b8121120 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m7" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fa815f6439c8dd86.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fa815f6439c8dd86.sql new file mode 100644 index 0000000000000000000000000000000000000000..27ef9175ca74de12e16c61a9229b6819568cd15b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fa815f6439c8dd86.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m7_fa815f6439c8dd86 +-- problem_id: v2p_m7_1a8b93601f068e0b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "stroke", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "stroke" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_faf0b2cb8033f56e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_faf0b2cb8033f56e.sql new file mode 100644 index 0000000000000000000000000000000000000000..e270bfa0c6f2805c8af6e7bca3c9170b3e4ba609 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_faf0b2cb8033f56e.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m7_faf0b2cb8033f56e +-- problem_id: v2p_m7_8175649abfb1f639 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Residence_type", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Residence_type" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Residence_type") AS "cnt" + FROM "m7" + WHERE NULLIF("age", '') IS NOT NULL +), +"group_stats" AS ( + SELECT DISTINCT + "Residence_type", + "cnt" + FROM "ordered" + WHERE "cnt" >= 5 +), +"targets" AS ( + SELECT + "Residence_type", + (0.9 * ("cnt" - 1) + 1.0) AS "target_rn", + CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) AS "floor_rn", + CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + CASE + WHEN (0.9 * ("cnt" - 1) + 1.0) > CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) THEN 1 + ELSE 0 + END AS "ceil_rn" + FROM "group_stats" +), +"bounds" AS ( + SELECT + t."Residence_type", + t."target_rn", + t."floor_rn", + MAX(CASE WHEN o."rn" = t."floor_rn" THEN o."age_value" END) AS "floor_value", + MAX(CASE WHEN o."rn" = t."ceil_rn" THEN o."age_value" END) AS "ceil_value" + FROM "targets" AS t + JOIN "ordered" AS o + ON o."Residence_type" = t."Residence_type" + GROUP BY t."Residence_type", t."target_rn", t."floor_rn" +) +SELECT + "Residence_type", + CASE + WHEN "floor_value" IS NULL THEN NULL + WHEN "ceil_value" IS NULL OR "target_rn" = "floor_rn" THEN "floor_value" + ELSE "floor_value" + ("target_rn" - "floor_rn") * ("ceil_value" - "floor_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fcf2ee8d03f77c2a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fcf2ee8d03f77c2a.sql new file mode 100644 index 0000000000000000000000000000000000000000..cca59dd571f78539a69610bba349363ad4d58f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fcf2ee8d03f77c2a.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m7_fcf2ee8d03f77c2a +-- problem_id: v2p_m7_30b15db9cf7c1f56 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "heart_disease", SUM(CAST(NULLIF("avg_glucose_level", '') AS REAL)) AS group_value + FROM "m7" + GROUP BY "heart_disease" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."heart_disease", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fd9b90663b3149f8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fd9b90663b3149f8.sql new file mode 100644 index 0000000000000000000000000000000000000000..fa84d3f09d2c97aa0f179ca0399dd65176a40077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fd9b90663b3149f8.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m7_fd9b90663b3149f8 +-- problem_id: v2p_m7_9b51be8de9f7867d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "work_type" AS value_label, COUNT(*) AS support + FROM "m7" + GROUP BY "work_type" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fe721c09d7c2acfb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fe721c09d7c2acfb.sql new file mode 100644 index 0000000000000000000000000000000000000000..56b43c31666c982cd264dbfa0e893ce8c55ae4c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fe721c09d7c2acfb.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_fe721c09d7c2acfb +-- problem_id: v2p_m7_902f8b2a344700e5 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "work_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "work_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fed5b605dbc9f32b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fed5b605dbc9f32b.sql new file mode 100644 index 0000000000000000000000000000000000000000..f716e87946d291a81c3b9403e04f824810b00d2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_fed5b605dbc9f32b.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m7_fed5b605dbc9f32b +-- problem_id: v2p_m7_548c6ad06313c3dc +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ever_married", + COUNT(*) AS total_rows, + SUM(CASE WHEN "bmi" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "bmi" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m7" +GROUP BY "ever_married" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ff3e0150199b7682.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ff3e0150199b7682.sql new file mode 100644 index 0000000000000000000000000000000000000000..8009ae9a80d78cbe4eff324180bbaaae0c149113 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m7/sql/v2q_m7_ff3e0150199b7682.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m7 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m7_ff3e0150199b7682 +-- problem_id: v2p_m7_b5fc9029ae15e839 +-- realization_mode: agent +-- source_kind: agent +SELECT + "stroke", + COUNT(*) AS "support" +FROM "m7" +GROUP BY "stroke" +ORDER BY "support" ASC, "stroke" +LIMIT 17;